Teaching competition in professional sports leagues
|
|
- Asher Rodgers
- 5 years ago
- Views:
Transcription
1 Workg Paer Seres, Paer No Teachg cometto rofessoal sorts leagues Stefa Szymask May 006 Astract I recet years there has ee some dsute over the arorate ay to model decsomakg rofessoal sorts leagues. I artcular, Szymask ad Kesee (004), argue that formulatg the decso-makg rolem as a ocooeratve game leads to radcally dfferet coclusos aout the ature of cometto sorts leagues. Ths aer descres a smulato model that va e used a classroom to demostrate ho cometto orks a ocooeratve cotext. The suortg Excel sreadsheet used to coduct the game ca e doloaded from the author s ersoal eage htt://3.meral.ac.uk/eole/s.szymask JEL Classfcato Codes: A0, D43, L83 Keyords: sorts, teachg methods * Paer reseted at the Jot Aual Meetg 006 of the Iteratoal ad Germa-Seakg Assocatos of Sorts Ecoomsts (IASE ad AK), May 4-6, 006 Stefa Szymask, Taaka Busess School, Imeral College Lodo, South Kesgto camus, SW7 AZ, UK. Tel : (44) , Fax: (44) , e-mal: szy@meral.ac.uk. I ould lke to thak studets at the Uversty of Ater ad the Uversty of Zurch for ther cotruto to tryg out the smulato game descred ths aer.
2 . Itroducto Formal mathematcal modellg of sorts leagues ega th the ork of El-Hodr ad Qurk (97). Such models tycally assume that team oers make choces aout vestmet talet, that talet geerates s the league ad that tur s geerate reveues. Predctos are assocated th the equlrum dstruto of s ether a roft maxmsg model (e.g. Atkso et all (988), Fort ad Qurk (995), Vrooma (995), Marurger (997)) or a maxmsg model (e.g. Kesee (996, 000)). The urose of ths modellg has ee to make redctos aout the mact of olcy measures such as gate reveue sharg o quattes such as league-de rofts ad comettve alace. I recet years there has ee a techcal deate the lterature aout the ay hch the model s costructed. Essetally, models that follo the tradto of El- Hodr ad Qurk are ased o to sets of assumtos (a) each team oer chooses a quatty of talet to hre the market, ad ths quatty traslates oe-for-oe to a quatty of s the league () equlrum s detfed as the ot here margal eefts are equalsed across teams ( the roft maxmsg model ths meas the ot here the margal reveue of a s equalsed, the maxmsato model t meas the ot here the average reveue of a s equalsed). Szymask (003, 004a) ad Szymask ad Kesee (004) take ssue th the frst of these assumtos o oth theoretcal ad ractcal grouds. I terms of the theory, they argue that there s o coheret game theoretc terretato of the assumto that talet has a oe-to-oe corresodece th s, sce ths mles that each team s caale of choosg s deedetly of the other teams. Logcally, the s of oe team a league must deed o the talet choces of the other teams as ell. More ractcally, they argue that teams do ot fact choose s uless they are egaged match fxg. I ractce, teams allocate a udget to the hrg of talet the market, th the result that each team s share of talet the market s roughly roortoal to ts share of aggregate team udgets. They also sho that modellg the
3 choce of udgets as a o-cooeratve games geerates redctos that are dramatcally dfferet from the covetoal results the lterature. Some crtcs ve ths deate as a rather astract dsute over modellg assumtos th lttle or o ractcal cosequece. Moreover, the fact the models are usually framed usg very smle assumtos, most otorously the to-team league assumto, others have questoed the ractcal relevace of the ssue. Ths aer ams to llustrate the ractcal relevace of the deate y resetg a verso of the game theoretc model that ca e used for the uroses of classroom smulato of a sorts league. Egagg studets a smulato rgs to lfe the costrats faced y oers ad maagers the decso makg rocess. It ca also hel to rovde sghts to the effectveess of the tyes of mechasms that have ee desged to allevate some of the cosequeces of ecoomc cometto etee teams a league. The aer rovdes a full descrto of the model so that the reader ca ru the smulato model for themselves, ad to ad the use of the model a sreadsheet verso ca e doloaded from the author s ersoal e age. The detals of ths sreadsheet are also exlaed the aer. The aer roceeds as follos. I the ext secto the asc assumtos ehd the model are exlaed ad the ay the smulato ca e ru class s dscussed. The follog descres the smulato model ad assumtos ehd t. Secto 3 resets the mathematcal model o hch the smulato s ased ad the dervato of the Nash equlrum uder roft maxmsato ad the ot roft maxmsg soluto. Secto 4 resets the results of some smulatos ru th studets at the Uversty of Ater ad the Uversty of Zurch. Detals of the sreadsheet are rovded the aedces. htt://3.meral.ac.uk/eole/s.szymask 3
4 . The assumtos the smulato model The smulato model relates ecoomc uts to sortg ad ecoomc oututs. I the model teams hre talet hch the roduces s, ad s tur geerates roft, hch s the dfferece etee the cost of talet ad the reveue geerated y s. Thus there are to key ecoomc relatoshs that must e secfed: (a) the relatosh etee exedture ad success o the layg feld () the relatosh etee success o the layg feld ad reveues These relatoshs are defed y a set of arameters hch characterse the league cometto questo. The smulato model ths aer s ased o emrcal estmates of these relatoshs for the Amerca League, oe half of Maor League Baseall, for the year 003. Hoever, t s qute easy, oce the model s uderstood, to develo a model of ay league, ether usg arameters estmated from emrcal data or ased o guesstmates. (a) Exedture ad g Fe ould argue agast the roosto that teams hch sed more o average more o average. A gger udget for layer sedg meas etter layers ca e hred. Because there s a market for layg talet, exedture s correlated th exected success, ad actual success s correlated th exected success. Nether of these relatoshs s erfect: sometmes maagers make ad choces, ad sometmes layers do ot erform as exected (esecally he they are ured). The degree of sestvty of g to sedg s catured y the Tullock cotest success fucto () B B 4
5 Here reresets the ercetage of games layed y team that t s. If tes (dras) are ermtted, the each oe s treated as half of a. If there are teams the league the total ercetages sum to / (e.g. f there are 4 teams, as the Amerca League, the the total ercetages o sum to 7 or 700%). Gve ths total to e shared out, equato () says that they ll e allocated relato to team udgets B, ad each team s share of s s roortoal to ts share total team udgets. The degree of sestvty ths relatosh s measured y the arameter. If s very large, the small dffereces the B s traslate to large dffereces team erformace. If equalled zero the sedg ould make o dfferece to erformace. To llustrate the mact of sedg for dfferet values of, tale shos the exected ercetage of a team for a gve level of exedture y other teams a 4 team league. Tale : Exected ercetages for dfferet levels of exedture assumg a 4 team league hch the other teams each sed 00 udget Note that exected ercetage exceeds the maxmum feasle 00% f the udget exceeds a crtcal level. Therefore the smulato model e troduce a extra costrat- f team s udget s such that the value take y equato () ould e greater tha uty, the team s actual ercetage s costraed to equal uty (00% s). 5
6 () Wg ad reveues The relatosh etee g ad reveues ca e estmated for ay gve league usg hstorcal data. Wg creases reveues ecause the maorty of those ho atted league games suort the home team. Home team fas at to see ther team. There are a umer of factors that are ko to crease reveues. I the Amerca League t has ee sho that the costructo of a e allark creases attedace, hle other factors such as ast success cotrute to s. The assumed relatosh etee attedace ad g ths model thus takes the form () Attedace a + + c The dervato of these coeffcets for the Amerca League s exlaed the aedx. The estmated coeffcets, a, ad c for each team are gve Tale. Tale : Estmated arameters for the sestvty of attedace to s for the Amerca League Name a c Aahem Agels Baltmore Oroles Bosto Red Sox Chcago Whte Sox Clevelad Idas Detrot Tgers Kasas Cty Royals Mesota Ts Ne York Yakees Oaklad Athletcs Seattle Marers Tama Bay Devl Rays Texas Ragers Toroto Blue Jays
7 (c) Playg the Game Gve the arameters of the model the game ca o e ru o sreadsheet. I order to lay the game t s useful to rovde a structo sheet (see aedx ). The structo sheet should exla the relatoshs aove ad the artcats should e vted to choose or allocated a team. The game s essetally a oe-shot game. Each team chooses a udget hch, for examle, they ca rte do o a decso sl (see aedx ). Each team does so deedetly ad the hads the sl to the structor. Oce they have all ee collected the structor uts the decsos oto the sreadsheet, ad the comato of dvdual decsos the determes the ercetage, reveue ad roft of each team. The game s est layed several tmes over, order that studets ca lear from the exereces of earler rouds. Hoever, t s very mortat to emhasse to artcats that the game s oe-shot, so that choces made ast rouds do ot drectly affect curret decsos, ad curret decsos have o log term cosequeces (at least drectly). It s mortat to ote, hoever, that teams lear aout ehavour from revous rouds ad that therefore there are some drect effects; deed, a sese, ths s the hole ot of the smulato. 3 Gve that e have a relatosh etee sedg ad g (equato ) ad etee g ad attedace (equato ), e ca calculate the cosequeces of dfferet udget choces made y dvdual teams. Each team ca choose ts o udget, ut the umer of s for each team ll deed ot oly o ther o udget, ut o the udget of every other team. The g ercetage for each team the determes attedace. 4 The reveue deeds o oth attedace ad rces. I the Amerca League model e assume that each team geerates $60 of come er 3 It ould e ossle thout too much maulato to make the game dyamc, ut ths ould the make t dffcult or mossle to detfy a equlrum of the game, ad studets mght lear lttle more tha the trte oservato that aythg ca hae. 4 Although f sedg s lo eough, the egatve coeffcet a for some teams mles egatve attedace. Ths s ruled out the sreadsheet y requrg attedace to e o-egatve. 7
8 fa, ut fact the value ca e chaged the sreadsheets so that t ca e alloed to vary for each team. Thus the roft for team, gve equatos () ad (), s (3) π (a + + c ) B Where s the exected reveue er fa. It ll e oted that so far othg has ee set aout oectves. Tycally Amerca ecoomsts have assumed roft maxmsg ehavour ad Euroea ecoomsts have assumed maxmsg ehavour. These assumtos roduce dfferet theoretcal results. Hoever, the smulato t s u to the structor to decde ho to drect the artcats. It may ractce e easer to demostrate the ature of the model y askg artcats to act as roft maxmsers, sce there s the a clear echmark for success game. Ideed, a classroom stuato oe mght eve aard grades for the level of rofts geerated. The aalogy a maxmsg model s that a layer of the game s maxmally successful f they acheve a udget exactly equal to zero, ad the closer they are to zero, the greater ther success. Hoever, t mght e argued that there should e asymmetrc ealtes for over ad uder-sedg (sce the cosequeces of oversedg are lkely to e more severe). All ths s the gft of the structor- the smulato model s cosstet th ay comato of roft maxmsg ad maxmsg ehavour. Before dscussg some of the exereces of classes that have layed the game, t s useful to characterse the Nash equlrum of the game. 3. Nash equlrum ad otmalty Gve the assumed oectves of the layers, there ll geeral exst a teror Nash equlrum of the model. Gve the choces of every other team, each team ossesses a est resose - a choce of udgetary exedture that maxmses each team s oectve fucto. If every team s udget decso ere smultaeously a est 8
9 resose, the the udgets ould costtute a Nash equlrum. At a Nash equlrum o team ould sh to alter ts choce. The Nash equlrum s ot ecessary otmal from the ot of ve of the league. If e ere to take the ersectve of the league as a hole, magg t as a cartel hose oectve as to share out the s such a ay as to geerate the maxmum ossle attedace (ad therefore reveue), e ould eed to detfy the ot here the margal reveue (MR) of a as equal for every team. To see hy ths s so, mage that for a gve set of ercetages oe team had a hgher margal reveue tha aother. I such a case t ould e ossle to crease total reveue y takg oe aay from the lo MR team ad gvg t to the hgh MR team- the ga ould outegh the loss. If all MR s are equal, hoever, t s ot ossle to redstrute s to crease total reveues. Notce that ths otmalty codto s deedet of the udgets of the teams- these do ot lay a role determg the otmal dstruto of s. (a) Dervg the Nash equlrum Gve (), () ad (3) the frst order codto for roft to e a maxmum s thus π (4) ( + c ) 0 B B here B B B B (5) B B B so that e ca rerte (4) as 9
10 0 (6) B c + ) ( Hoever, e ca also defe the dvdual udget B of a team terms of the sum of udgets of all teams, usg (): (7) B B ad thus (6) ca e rertte as the equlrum codto (8) ) ( + B c Note that the RHS of (8) s commo to all teams. Aother ay to rerte the equlrum codto therefore s (9) + + c c ) ( ) ( for every team ad. It s straghtforard to solve ths system of equatos umercally f the arameters, c, ad are ko. ad c ca e recovered y regressg attedace o ercetage, the value of, hch s essetally reveue er fa, ca e derved drectly from come statemets of the clus, hle ca e derved from the relatosh etee ercetage ad team layer udgets (aedx 5 descres ho ths ca e doe o a Excel sreadsheet).
11 It s useful to cosder the values that ths codto takes for dfferet values of : (0) c c c c ) ( : 4 ) ( : 3 ) ( : ) ( : 3 () The otmum for the league cartel We o comare ths th the codto for league reveues as a hole to e maxmsed. Ths requres the margal reveue of a to e equalsed across teams, regardless of udgets. The codto s gve y the dervatve of () th resect to g ercetage ad hece: () ) ( ) ( c c + + We ca solve exlctly for as follos. Frst, from () () c c c + If e sum over all ot cludg, the (3) + c c c ut also (4) ( ) / -.
12 (ths s the addg u costrat troduced ()), ad hece (5) * c + c c The soluto (5) defes the dstruto of ercetages that maxmses total reveues. A laer terested maxmsg total reveue ould therefore dstrute layg talet such a ay as to roduce these ercetages. I theory there s o eed for the laer to use the market mechasm,.e. layg udgets. Hoever, t s ossle to detfy the udget dstruto that ould geerate the otmal ercetages y usg (7). For ay team the udget must e roortoal to * * (6) B K ( ) Where K s a costat that ca e adusted to defe the total layer udget. Of course, gve that oly the relatve sze of the udgets matter for allocatg talet, t ould e ossle for the laer to reduce total exedture to the level of the layers reservato age. 4. The classroom exerece The game has ee layed y studets takg a sorts ecoomcs class at the Uversty of Ater ad the Uversty of Zurch. Belo s descred the exerece of oe grou. Each team as rereseted y a sgle studet. Before makg ther frst decso, the teams ere told that the data rereseted roughly the stuato hch the Amerca League foud tself 003, ad that fact the teams had set aout $. llo o layer salares. After allog aout fve mutes to uderstad the rolem (ad aserg questos of clarfcato), the studets ere requred to sumt ther udget sls. Whe each team s rereseted y
13 a grou of studets somehat more dscusso tme s requred. The udget choces ere the etered to the sreadsheet, ad he ths as doe the outcome as the sho o a roector. Ths aeared as fgure. Fgure : Scree for roud of the game The aggregate sedg the frst roud as very hgh- aout 30% hgher tha the actual sedg. The rage vared from $5 mllo to $0 mllo. Gve that the studets ere suosed to e actg as roft maxmsers, those ho made losses ere asked to commet. Most quckly sa that reducg exedture ould crease rofts. Studets could see qute easly that some teams started th a stroger suorter ase, ut that hat really mattered terms of the udget choce as 3
14 hether the team had a large sestvty of reveues to s, catured the ad c arameters. We the moved to roud, the results of hch are sho tale 3. Tale 3: Roud of the game Roud Name udget $m(b) c(b) attedace Reveue $m roft $m Aahem Agels Baltmore Oroles Bosto Red Sox Chcago Whte Sox Clevelad Idas Detrot Tgers Kasas Cty Royals Mesota Ts Ne York Yakees Oaklad Athletcs Seattle Marers Tama Bay Devl Rays Texas Ragers Toroto Blue Jays Sum stadard devato 0.9 Total sedg as early halved. Reveues, hoever, fell oly slghtly, ad therefore rofts ere three tmes larger tha the frst roud. Note that the varace of ercetages also creased, sce the fe teams that cotued to sed at a hgh level acheved very hgh ercetages (ad relatvely lo rofts). The cocet of a est resose as o dscussed- could each team detfy a est resose? We the moved to roud 3, the results of hch are sho Tale 5. By roud 3 every team had recogsed the advatage to keeg sedg do ad aggregate sedg as o oe thrd of the level the frst roud, ad rofts ere aout four tmes larger. No studets foud that chagg ther decso made very lttle dfferece to total roft- most teams ere close to ther est resose. Roud 4 (Tale 6) llustrated that the grou as gettg closer to a equlrum. 4
15 Tale 5: Roud 3 of the game Roud 3 Name udget $m(b) c(b) attedace reveue $m roft $m Aahem Agels Baltmore Oroles Bosto Red Sox Chcago Whte Sox Clevelad Idas Detrot Tgers Kasas Cty Royals Mesota Ts Ne York Yakees Oaklad Athletcs Seattle Marers Tama Bay Devl Rays Texas Ragers Toroto Blue Jays Sum stadard devato 0.96 Tale 6: Roud 4 of the game Roud 4 ame udget $m(b) c(b) attedace reveue $m roft $m Aahem Agels Baltmore Oroles Bosto Red Sox Chcago Whte Sox Clevelad Idas Detrot Tgers Kasas Cty Royals Mesota Ts Ne York Yakees Oaklad Athletcs Seattle Marers Tama Bay Devl Rays Texas Ragers Toroto Blue Jays Sum stadard devato 0.6 I ths roud the aggregate result as qute smlar to the revous roud. As a result, although some grous chaged ther udget qute sgfcatly, t roved harder to 5
16 affect rofts sgfcatly. Ths led aturally to a dscusso of the dea that each team mght smultaeously e at a est resose. Some thought ths as ossle, others ot. At ths ot the cocet of the Nash equlrum as troduced ad the relevat values sho o the sreadsheet. As a fal stage the exercse the, dstruto of s hch maxmses total attedace as examed, ths eg dfferet from the comettve Nash equlrum. 6
17 Aedx : Istructos for artcats the Amerca League game. (NB the sreadsheet for the game ca e doloaded at htt://3.meral.ac.uk/eole/s.szymask) Image you are the oer of a team the Amerca League ad that your sole oectve s to maxmse rofts. Profts equal reveues mus costs. Costs equal the udget devoted to hrg layg talet. Reveue deeds o the ercetage of games o, hch ca rage etee zero ad 00%. The exact relatoshs deed o the follog to equatos: () B B (The ay-erformace relatosh) () Attedace a + + c (The attedace- relatosh) The ay-erformace relatosh Here reresets the ercetage of games layed y team that t s. For teams the league the total ercetages sum to /. I the Amerca League there are 4 teams ad so the total ercetages o sum to 7 (700%). B s the team udgets ad each team s share of s s roortoal to ts share total team udgets. The degree of sestvty ths relatosh s measured y the arameter. If s very large, the small dffereces traslate to large dffereces team erformace. If equalled zero the sedg ould make o dfferece to erformace. To llustrate the mact of sedg for dfferet values of, tale shos the exected ercetage of a team for a gve level of exedture y other teams a 4 team league. Tale : Exected ercetages for dfferet levels of exedture assumg a 4 team league hch the other teams each sed 00 udget I the game a value of 0.5 ll e assumed. 7
18 N.B. If team s udget s such that the value take y equato () ould e greater tha uty, the team s actual ercetage s costraed to equal uty (00% s). The attedace- relatosh The attedace relatosh s ased o hstorc data. For each team there s a quadratc relatosh hch reaches a maxmum at some ostve ercetage, ut that crtcal value ca e greater tha 00%. Tale : Estmated arameters for the sestvty of attedace to s for the Amerca League Name a c Aahem Agels Baltmore Oroles Bosto Red Sox Chcago Whte Sox Clevelad Idas Detrot Tgers Kasas Cty Royals Mesota Ts Ne York Yakees Oaklad Athletcs Seattle Marers Tama Bay Devl Rays Texas Ragers Toroto Blue Jays N.B. Gve the values of a Tale, t ould e ossle for a team to have egatve attedace f the team o fe games. Ths s ruled out y costrag attedace to e o-egatve. Gve these to relatoshs roft equals (3) π (a + + c ) B For ths smulato e assume (average reveue er fa) s equal to $60 for each team. Rules of the game Each team s requred to choose a ostve ad fte udget fgure. Colluso s ot ermtted. Based o these choces the ercetage, reveue ad roft of each team ll e determed. If more tha oe roud s layed, there s o coecto etee the decsos oe roud ad the decsos ay other. 8
19 Aedx : A examle of a udget sl used for the layg the game Aahem Agels Roud Budget $m: Aahem Agels Roud Budget $m: Aahem Agels Roud 3 Budget $m: Aahem Agels Roud 4 Budget $m: Aahem Agels Roud 5 Budget $m: 9
20 Aedx 3: Ho to solve for the Nash equlrum udgets o a Excel sreadsheet. The ut data requred for ths exercse cossts of the arameters ad c, reveue er fa, hch should e defed three searate colums, say colums A, B ad C.. Defe the ercetages colum D usg equato () here the B are umers utted colum E, hch e ca lael Rudgets ad the arameter, defed a free cell (for examle, a 4 team league, here the ames are defed the frst ro ad the ext 4 ros cota the team data, cell A7 could e used for the value of ). 3. I colum F ut the formula for LHS of the equlrum codto (9). Ths deeds o the arameters (colum A) ad c (colum B), reveue er fa (colum C), the umer of teams the league, ad the ercetages defed colum D. 4. Udereath the fgures colum F ut the average value of these fgures. 5. I colum G ut the dfferece etee value for the team colum F ad the average value for colum F. 6. From colum G detfy the team hose devato from the average s largest ad the adust ths team s Rudget fgure colum E utl the devato s zero (or close to zero). 7. Reeat ste 5 as ofte as s ecessary to reduce all of the devatos as close to zero as s requred. Note that as the devatos colum G aroach zero the values colum F aroach equalty, thus satsfyg equlrum codto (9). 8. To derve team udgets from the Rudget fgures colum E, ut colum H the LHS of equato (6), hch deeds o the ercetages colum D, the arameters (colum A), c (colum B), reveue er fa (colum C), the umer of teams ad. The fgures colum H are thus the Nash equlrum udgets (Rudgets are roortoal to the Nash Equlrum udgets, ut oly esure that the margal reveue of udget sedg s equalsed across all teams. For Nash equlrum e also requre that margal reveue equals margal cost). 0
21 Aedx 4: a lst of sheets from the Excel fle Base data: attedace ad ercet data for the Amerca League. Other varales clude dummes for date of a e allark oeed ad league hoours o. Exedture ad g: Ths sheet uses the mmum sum of squared devatos to estmate the value of hch est fts the data o ages ad ercet usg equato (). Reveue ad costs AL 03: Ths s actual reveue ad cost data for the Amerca League 003 Regresso Results: Ths sheet shos the results of the lear regressos of attedace o ercet. Quadratc estmates: Ths sheet shos ho the quadratc arameter estmates ere derved. The method s exlaed Szymask (004). Attedace ad g (chart): Ths shos the relatosh etee attedace ad ercetage for some of the teams. Model: Ths s sheet used to ut the udget choces made y artcats the smulato. Results: Ths sheet should e used to kee a record (y cuttg ad astg) of each roud. NE g 0.6: Ths sheet gves the Nash equlrum choces he 0.6, assumg roft maxmsato. NE g 0.5: Ths sheet gves the Nash equlrum choces he 0.5, assumg roft maxmsato. NE g 0.5: Ths sheet gves the Nash equlrum choces he 0.5, assumg roft maxmsato. NE g : Ths sheet gves the Nash equlrum choces he, assumg roft maxmsato. Plaer s equlrum: Ths sheet gves the dstruto of ercetages that maxmses total attedace Summary: Ths sheet summarses all the relevat varales for the dfferet Nash equlra ad the laer s equlrum. It also gves the udget choces he teams are maxmsers. Note that for some values of, there are some clus that caot avod losses he all teams are maxmsers.
22 Aedx 5: A ote o arameter values the model (a) the value of For the smulato a value of equal to ½ s coveet. It s ossle, hoever, to derve a value of. The sheet laelled Exedture ad g estmates the arameter usg data from the Amerca League for the erod Ths s doe y defg the exected ercetage for each team each seaso ased o the ayrolls of all team secfed equato (), ad the varyg the arameter so the sum of squared devatos of exected from actual ercetage s mmsed. The value of that does ths for the Amerca League s 0.6, suggestg a relatvely lo sestvty. Estmates for other leagues at other tmes could dffer sgfcatly. () the value of the a, ad c arameters Usg the Base data sheet, the regresso results shos the ecoometrc results for the relatosh etee attedace at the allark ad these factors. For each clu, a crease g ercetage creases attedace, ut at each clu the sestvty vares. The estmated relatosh s lear, suggestg that, hatever, the level of ercetage, a addto to ercetage roduces the same crease attedace. More realstcally, t mght e exected that creases ercetages roduce a smaller ad smaller addto to attedace (dmshg returs). It mght eve e the case that attedace decreased f ercetage rose too hgh, sce fas ould lose the elemet of uredctalty that makes sortg cotests attractve. Ths o-learty s hard to estmate for the Amerca League, sce teams seldom acheve extreme ercetages. Out of the 363 team seasos the dataase here, there ere oly three cases of ercetages elo 33% ad oly three aove 66% (the hghest as 7% ad the loest 6%). Hoever, t s lkely that f a team o more tha 80% of ts games t ould at least start to face caacty costrats. The sheet quadratc estmates shos a o-lear estmate ca e roduced from the regresso results ad the assumto of a caacty costrat, ad the chart Attedace ad g llustrates the relatosh for several clus.
23 Refereces Atkso, Scott, Lda Staley ad Joh Tschrhart Reveue Sharg as a cetve a agecy rolem: a examle from the Natoal Footall League Rad Joural of Ecoomcs, 9,, 7-43 El-Hodr, Mohamed ad James Qurk. 97. A Ecoomc Model of a Professoal Sorts League Joural of Poltcal Ecoomy, 79, 30-9 Fort, Rodey ad James Qurk Cross Susdzato, Icetves ad Outcomes Professoal Team Sorts Leagues Joural of Ecoomc Lterature, XXXIII, 3, Késee, Stefa. 996 League Maagemet Professoal Team Sorts th W Maxmzg Clus, Euroea Joural for Sort Maagemet, vol. /,. 4- Késee, Stefa Reveue Sharg ad Comettve Balace Professoal Team Sorts Joural of Sorts Ecoomcs, Vol, No, Marurger, Dael "Gate reveue sharg ad luxury taxes rofessoal sorts" Cotemorary Ecoomc Polcy, XV, Arl, 4-3. Stefa Szymask, 003. The Ecoomc Desg of Sortg Cotests Joural of Ecoomc Lterature, XLI, Stefa Szymask, 004a, Professoal team sorts are oly a game: the Walrasa fxed suly coecture model, Cotest-Nash equlrum ad the Ivarace Prcle Joural of Sorts Ecoomcs, 5,, -6. Stefa Szymask, 004, Tltg the Playg Feld: Why a sorts league laer ould choose less, ot more, comettve alace, mmeo. Stefa Szymask ad Stefa Késee, 004. Comettve alace ad gate reveue sharg team sorts Joural of Idustral Ecoomcs, LII,, Vrooma, Joh A Geeral Theory of Professoal Sorts Leagues Souther Ecoomc Joural, 6, 4,
Revenue Sharing and Competitive Balance. Does the invariance proposition hold?
Reveue Sharg ad Compettve Balace Does the varace proposto hold? Prof. dr. Stefa Kesee Ecoomcs Departmet Uversty of Atwerp ad Physcal Educato Departmet Catholc Uversty of Leuve (KUL) Uversty of Atwerp Prsstraat,
More informationBowls North Harbour Inc PENNANTS. Start Time for Qualifying Rounds 9:30am
Bowls North Harbour Ic. 2017-2018 PENNANTS Saturday 30 th September, 8 th & 14 th October 2017 (eserve Day 15/10) Fals Day Suday 17 th December 2017 Start Tme for Qualfyg ouds EVENT DIECTO Bowls North
More informationENGINEERING ECONOMICS
ENGINEERING ECONOMICS Factor Name Coverts Symbol Formula Sgle Paymet Compoud Amout to F gve P (F/P, %, ) ( + ) Sgle Paymet Preset Worth to P gve F (P/F, %, ) ( + ) Uform Seres to A gve F (A/F, %, ) Skg
More informationEntropy Coefficient Method to Evaluate the Level of Sustainable Development of China's Sports
ISSN 750-9823 (prt) Iteratoal Joural of Sports Scece ad Egeerg Vol. 02 (2008) No. 02, pp. 72-78 Etropy Coeffcet Method to Evaluate the Level of Sustaable Developmet of Cha's Sports We Lu, J Cu 2 Physcal
More informationRelating Safety and Capacity on Urban Freeways
Avalable ole at www.scecedrect.com Proceda Socal ad Behavoral Sceces 16 (2011) 317 328 6 th Iteratoal Symposum o Hghway Capacty ad Qualty of Servce Stockholm, Swede Jue 28 July 1, 2011 Relatg Safety ad
More informationENGINEERING ECONOMICS
ENGINEERING ECONOMICS Factor Name Coverts Symbol Formula Sgle Paymet Compoud Amout to F gve P (F/P, %, ) ( + ) Sgle Paymet Preset Worth Uform Seres Skg Fud to P gve F (P/F, %, ) ( + ) to A gve F (A/F,
More information2D MODELLING OF GROUNDWATER FLOW USING FINITE ELEMENT METHOD IN AN OBJECT-ORIENTED APPROACH
IMW Symposum 7: Water Mg Evromets R. Cdu & F. Frau Eds 7t - 3st May 7 Caglar Italy D MODELLING OF GROUNDWTER FLOW USING FINITE ELEMENT METOD IN N OBJECT-ORIENTED PPROC bolgasem Kamar-Roua Departmet of
More informationOptimal Design of DPCM Scheme for ECG Signal Handling
Proceedgs of the 6th WSEAS Iteratoal Coferece o Sgal, Speech ad Image Processg, Lsbo, Portugal, September 22-24, 2006 156 Optmal Desg of DPCM Scheme for ECG Sgal Hadlg BAHAR H. B. ad KHIABANI Y.S. Departmet
More information2 Stage I. Stage II. Stage III (ii)
Compettve Faclty Locato alog a Hghway Λ Hee-Kap Ah y Su-Wg Cheg z Otfred Cheog y Mordeca Gol z Reé va Oostrum y Aprl 10, 2001 Abstract We cosder a compettve faclty locato problem wth two players. Players
More informationBayesian parameter estimation. Nuno Vasconcelos UCSD
Byes prmeter estmto Nuo Vscocelos UCS Byes prmeter estmto the m dfferece wth respect to ML s tht the Byes cse Θ s rdom vrble bsc cocepts trg set {... } of emples drw depedetly probblty desty for observtos
More informationAn Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc.
[Type tet] [Type tet] [Type tet] ISSN : 974-7435 Volume Issue 9 BoTechology 4 A Ida Joural FULL PAPER BTAIJ, (9), 4 [37-35] Grey correlato degree-based CBA basetball game techques fluece factors study
More informationScientific Herald of the Voronezh State University of Architecture and Civil Engineering. Construction and Architecture
Scetfc Herald of the Voroezh State Uversty of Archtecture ad Cvl Egeerg. Costructo ad Archtecture UDC 697.60.09 Saratov State Techcal Uversty Ph. D. Egeerg, Assoc. Prof. of Dept. of Heat ad Gas Supply
More informationOn Developing Ridge Regression Parameters: A Graphical investigation
Florda Ieraoal Uversy FIU Dgal Commos Dearme of Mahemacs ad Sascs College of Ars, Sceces & Educao 0 O Develog Rdge Regresso Parameers: A Grahcal vesgao Gsela Muz Dearme of Mahemacs ad Sascs, Florda Ieraoal
More informationA Statistical Measuring System for Rainbow Trout
A Statstcal Measurg Sstem for Rabow Trout Marcelo Romero, José M. Mrada, Héctor A. Motes, Jua C. Acosta Uversdad Autóoma del Estado de Méco {mromeroh, jmmradac, hamotesv, jcacostag}@uaeme.m Abstract Tradtoall,
More informationA RESPONSE SPECTRUM-BASED NONLINEAR ASSESSMENT TOOL FOR PRACTICE: INCREMENTAL RESPONSE SPECTRUM ANALYSIS (IRSA)
ISET Joural of Earthquake Techology, Paper No., Vol., No., March 7, pp. 9 9 A RESPONSE SPECTRUM-BASED NONLINEAR ASSESSMENT TOOL FOR PRACTICE: INCREMENTAL RESPONSE SPECTRUM ANALYSIS (IRSA) M. Nuray Aydıoğlu
More informationJ. Sci. Res. 11 (1), (2019) A Bayesian Approach for Estimating Parameter of Rayleigh Distribution
Publatos Avalable Ole J. S. Res. (), 3-39 (09) JOURNAL OF SCIENTIFIC RESEARCH www.baglajol.fo/de.php/jsr A Bayesa Approah for Estmatg Parameter of Raylegh Dstrbuto J. Mahata *, M. B. A. Talukdar Departmet
More information8.5. Solving Equations II. Goal Solve equations by balancing.
8.5 Solvig Equatios II Goal Solve equatios by balacig. STUDENT BOOK PAGES 268 271 Direct Istructio Prerequisite Skills/Cocepts Solve a equatio by ispectio or systematic trial. Perform operatios usig itegers,
More informationUniversity of California, Los Angeles Department of Statistics. Measures of central tendency and variation Data display
Uiversity of Califoria, Los Ageles Departmet of Statistics Statistics 13 Istructor: Nicolas Christou Measures of cetral tedecy Measures of cetral tedecy ad variatio Data display 1. Sample mea: Let x 1,
More informationRotary International President Gary C.K. Huang. Rotary Club of Taipei Taiwan. Coming Events July 2014
The Rotary Club of Kwaa Dstrct 9465 Wester Australa Chartered: 22 Aprl 1971 Team 2014-15 Presdet Mke Nella Secretary Bra McCallum Treasurer Bob Cooper Attedace ths week Total Members 24 Exempt Apologes
More informationThe research of applied pushover method in the earthquake resistance analysis of soil-structure interaction system
The th World Coerece o Earthquae Egeerg Octoer -7,, Bejg, Cha The research o appled pushover method the earthquae resstace aalyss o sol-structure teracto system Lu Lpg, Xa Ku ad Cao Xua Assocate Proessor,College
More informationConfidence intervals for functions of coefficients of variation with bounded parameter spaces in two gamma distributions
Sogklaakar J. Sc. Techol. 39 (), 7-39, Ja. - Feb. 7 http://.jt.pu.ac.th Orgal Artcle Cofdece terval for fucto of coeffcet of varato th bouded parameter pace to gamma dtrbuto Pataraa Sagaakj ad Sa-Aat Ntpog
More informationExpert Systems with Applic ations
Expert Systems wt Applcatos 40 (03) 484 4847 Cotets lsts avalable at ScVerse SceceD rect Expert Systems wt Applc atos oural omepage: www.elsever.com/locate/eswa A drect terval exteso of TOPSIS metod Ludmla
More informationSIMULATION OF COUNTER FLOW PEDESTRIAN DYNAMICS IN HALLWAYS USING SPHEROPOLYGONS INTRODUCTION
SIMULATION OF COUNTER FLOW PEDESTRIAN DYNAMICS IN HALLWAYS USING SPHEROPOLYGONS Ferado Aloso-Marroqu 1, Cela Lozao 2, Álvaro Ramírez-Gómez 3, ad Joatha Busch 1 1 School of Cvl Egeerg, The Uversty of Sydey,
More informationIntegral Solutions of the Homogeneous Cubic Equation
Itertol Jorl of Cottol Egeerg Reserch Vol 0 Isse 5 Itegrl Soltos of the Hoogeeos Cc Eto M..Gol V.Geeth. Professor Dertet of Mthetcs Shrth Idr Gdh College Trch. sst.professor Dertet of Mthetcs Cer College
More informationThe structure of the Fibonacci numbers in the modular ring Z 5
Notes o Number Theory ad Discrete Mathematics Vol. 19, 013, No. 1, 66 7 The structure of the iboacci umbers i the modular rig Z J. V. Leyedekkers 1 ad A. G. Shao 1 aculty of Sciece, The Uiversity of Sydey
More informationAvailable online at ScienceDirect
Avalable ole at www.scecedrect.co SceceDrect Proceda Coputer Scece 31 ( 2014 ) 1124 1132 2d Iteratoal Coferece o Iforato Techology ad Quattatve Maageet, ITQM 2014 Offshore helcopter routg a hub ad spoe
More informationEquipment. Rackets are fragile. Handle the shuttlecocks carefully and only by their rubber tips.
Badmito Overvie ad History Badmito is a racket sport that is played o a court divided by a et five feet high. The game is played ith a shuttlecock ( bird ). Ca be played as sigles or doubles. The object
More informationRealize a Mobile Lane Detection System based on Pocket PC Portable Devices
Proceedgs of the 7th WSEAS It. Cof. o Sgal Processg, Computatoal Geometry & Artfcal Vso, Athes, Greece, August 4-6, 007 135 Realze a Moble Lae Detecto System based o Pocket PC Portable Devces P-Chh Hsueh,
More informationPENALIZED LOGISTIC REGRESSION TO ASSESS NFL QUARTERBACK PERFORMANCE
PENALIZED LOGISTIC REGRESSION TO ASSESS NFL QUARTERBACK PERFORMANCE 4/26/2016 Abstract [Draw your reader in with an engaging abstract. It is tyically a short summary of the document. When you re ready
More informationCall To Action. & bb b b b. w w. œ œ œ J. &b b b b b. œ œ œ. œ œ. œ œ œ. ? b b b b b 4. j œ. j œ Ó n. œ j. œ j œ œ Ó Œ. œ j Ó Œ j œœ œ Ó.
Voice Piao q=132 Comissioed by the Australia Museum of Democracy (MoAD) Call To Actio 4 By Tim Bevitt 2017 q=132 & bb b b b4 w w J 4 6 &b b b b b &b b b b b 10 µ J E F w w b We Our live here i Aus-tral
More information,~E~l. re: MANHOLE (CAST IN PLACE) ftj 6'-o" X 14 /-0 II 1:== POWER DISTRIBUTION STANDARDS - II. a:~ VJ II. a: - ~ ~~ (/)'~.,"--/\ i
SEE OTE 1 220333.1.6 rs GRADE "
More informationWelcome to the world of the Rube Goldberg!
Welcome to the world of the Rube Goldberg! Sice 1988, tes of thousads of studets have competed i our aual Rube Goldberg Machie Cotests where they are challeged to build the wackiest workig Rube Goldberg
More informationBayesian classification methods
Byes lssfto methods Outle Bkgroud robblty Bss robblst Clssfto Nïve Byes rple d Algorthms Emple: ly Tes Zero Codtol robblty Summry Bkgroud There re three methods to estblsh lssfer Model lssfto rule dretly
More informationTjalling C. Koopmans Research Institute
Tallg C. Koomas Researh Isttute Tallg C. Koomas Researh Isttute treht Shool of Eooms treht versty Jaskerkhof 35 BL treht The Netherlads telehoe +3 30 53 9800 fax +3 30 53 7373 webste www.koomassttute.uu.l
More informationEndogenous Minimum Participation in International Environmental Agreements: An Experimental Analysis
Endogenous Mnmum Partcaton n Internatonal Envronmental Agreements: An Exermental Analyss Davd M. McEvoy Deartment of Economcs, Aalachan State Unversty, Boone NC, USA Todd L. Cherry Deartment of Economcs,
More informationReduced drift, high accuracy stable carbon isotope ratio measurements using a reference gas with the Picarro 13 CO 2 G2101-i gas analyzer
Reduced drft, hgh accuracy stable carbon sotope rato measurements usng a reference gas wth the Pcarro 13 CO 2 G2101- gas analyzer Chrs Rella, Ph.D. Drector of Research & Development Pcarro, Inc., Sunnyvale,
More informationMeasuring and Analyzing the Bullwhip Effect in a Two-Product and Two Echelon Supply Chain Using Control Theory Approach
Joural of Omzao Idusral Egeerg 5 (0) 55-63 Measurg ad Aalyzg he Bullwh Effec a Two-Produc ad Two Echelo Suly Cha Usg Corol Theory Aroach Ahmad Sadegh* a Asssa Professor, Faculy of Idusral ad Mechacal Egeerg,
More informationnumber in a data set adds (or subtracts) that value to measures of center but does not affect measures of spread.
Lesso 3-3 Lesso 3-3 Traslatios of Data Vocabulary ivariat BIG IDEA Addig (or subtractig) the same value to every umber i a data set adds (or subtracts) that value to measures of ceter but does ot affect
More informationIntegrated Model of Municipal Waste Management of the Czech Republic
Iteratoal Cogress o Evrometal Modellg ad Software Brgham Youg Uversty BYU ScholarsArchve 5th Iteratoal Cogress o Evrometal Modellg ad Software - Ottawa, Otaro, Caada - July 2010 Jul 1st, 12:00 AM Itegrated
More informationAbundance and distribution of freshwater sponges (Spongillidae)in Danube floodplain waters near Vienna, Austria
Abudace ad dstrbuto of freshwater spoges (Spoglldae) Daube floodpla waters ear Vea, Austra Irs Dröscher 1, Joha Warger 1 Keywords: Spoglldae, Dauba floodpla waters, Vea Itroducto Although the phylum Porfera
More informationMST 121: Supplementary resource material for Chapter A1, Sequences
MST : Supplemetary resource material for Chapter A Sequeces For each of the followig sequeces (a) 9 (b) (c) 8 7 Write ow the et terms of the sequece Write ow a epressio for the close form of the sequece
More informationResistance Prediction for a Novel Trimaran with Wave Piercing Bow
INTERNATIONAL JOURNAL OF MARITIME TECHNOLOGY IJMT Vol.9/ Wter 018 (33-40) Avalable ole at http://mt.r/browse.php?a_code=a-10-194-1&sd=1&slc_lag=e Dowloaded from mt.r at 5:56 +0430 o Wedesday July 11th
More informationNon-Harmony Notes GRADE 6 MUSIC THEORY
No-Harmoy Notes GRADE 6 MUSIC THEORY Dr. Decla Plummer Lesso 3: No-Harmoy Notes 1. No-Harmoy otes are itches that are ot cotaied withi the chord. They decorate the music by rovidig it with more exressio
More informationMethodology for ACT WorkKeys as a Predictor of Worker Productivity
Methodology for ACT WorkKeys as a Predctor of Worker Productvty The analyss examned the predctve potental of ACT WorkKeys wth regard to two elements. The frst s tme to employment. People takng WorkKeys
More informationMICROPOROSITY IN MONTMORILLONITE FROM NITROGEN AND CARBON DIOXIDE SORPTION
Clays ad Clay Merals, Vol. 25, pp. 148 154. Pergamo Press 1977. Prted Great Brta MICROPOROSITY IN MONTMORILLONITE FROM NITROGEN AND CARBON DIOXIDE SORPTION L. A. G. AYLMOI~ Departmet of Sol Scece ad Plat
More informationChapter 9, Part B Hypothesis Tests
Slides Preared by JOHN S. LOUCKS St. Edward s Uiversity Slide 1 Chater 9, Part B Hyothesis Tests Poulatio Proortio Hyothesis Testig ad Deisio Makig Calulatig the Probability of Tye II Errors Determiig
More informationMass Distribution of Mercury among Ecosystem Components in the Florida Everglades
Mass Dstrbuto of Mercury amog Ecosystem Compoets the Florda Everglades Guaglag Lu, G. Melode Naja 2, Yog Ca, Peter Kalla 3, Da Schedt 3, Evely Gaser, Georgo Tachev, Davd Roelat : Florda Iteratoal Uversty
More informationTeam Participation. Clarendon College Unit ID: Number of participants as of the day of the first scheduled contest
Claredo College Uit ID: 223922 Geeral Ifmatio 1122 College Drive Claredo, TX 79226 Phoe: 806-874-3571, 806-874-3571 (129) Number of Full-time Udergraduates: 576 Me: 260 Wome: 316 Athletic Departmet Ifmatio
More informationGenerative Models and Naïve Bayes
COM4 Mhe Lerg Geertve Models d Nïve Byes Ke Che Redg: [4.3 EA] [3.5 KM] [.5.4 CMB] Outle Bkgroud d robblty Bss robblst Clssfto rple robblst dsrmtve models Geertve models d ther pplto to lssfto MA d overtg
More informationFootwork is the foundation for a skilled basketball player, involving moves
The Complete Book of Offesive Basketball Drills Basic Footwork ad Cuts Drills 2 Equipmet 16 chairs (or less) Persoel The etire team Basic Footwork ad Cuts Drills Two coaches How to Ru the Drill Five feet
More informationThe Numerical Simulation Study of the Impacting Factors of the Produced Gas/Oil Ratio
International Symosium on Material, Energy and Environment Engineering (ISM3E 015) The Numerical Simulation Study of the Imacting Factors of the Produced Gas/Oil Ratio Zhenhai Jiang No.3 Oil Production
More informationsecuring your safety
securig your safety LIFE POINT PRO DEFIBRILLATOR AN AUTOMATED EXTERNAL DEFIBRILLATOR (AED) CAN BE THE DIFFERENCE BETWEEN LIFE AND DEATH. Statistics show that early 200,000 people die each year as a result
More informationDESIGN AND IMPLEMENTATION OF BASKETBALL TEACHING PLATFORM
0 th February 03. Vol. 48 No. 005-03 JATIT & LLS. All rghts reserved. ISSN: 99-8645 www.jatt.org E-ISSN: 87-395 DESIGN AND IMPLEMENTATION OF BASKETBALL TEACHING PLATFORM BO SU, SUFEI YANG, AIMIN QIN Deartment
More informationa. The density of seawater is about 1027 kg/m 3. What is the pressure of the ocean on these creatures in psi? Show your work.
IDS 10 Pre-exam Homework Questions- solutions 1. The specific heat of silver is 0.05 cal/(g C) and the specific heat of water is 1 cal/(g C) If a certa amount of heat is added to a sample of water, the
More informationApplication of K-Means Clustering Algorithm for Classification of NBA Guards
Applcato of K-Meas Clusterg Algorthm for Classfcato of NBA Guards Lbao ZHANG Departmet of Computer Scece, Shadog Uversty of Scece ad Techology, Qgdao 266590, Cha Pgpg GUO Departmet of Computer Scece, Shadog
More informationBiology- Genetics: Who Dares Wins Probability and Heredity Lab Report
iology- Genetics: Who Dares Wins Proaility and Heredity La Report QUESTION/PROLEM: How can you predict the possile results of genetic crosses? ACKGROUND INFO The purpose of this La report is to find out
More informationStochastic Scheduling with Availability Constraints in Heterogeneous Clusters
Ths paper appeared the Proceedgs of the 8th IEEE Iteratoal Coferece o Cluster Coputg (Cluster 006), Sept. 006. Stochastc Schedulg wth Avalablty Costrats Heterogeeous Clusters Tao Xe Xao Q Departet of Coputer
More informationThis report presents an assessment of existing and future parking & traffic requirements, for the site based on the current development proposal.
CR166916b02 20 Jue 2017 Melida Dodso Melida Dodso Architects PO Box 5635 Hughes ACT 2605 Email: mdodso@melidadodsoarchitects.com.au Dear Melida, Project: Dickso Apartmets Lowrie St Re: Statemet o Parkig
More informationAn Enforcement-Coalition Model: Fishermen and Authorities forming Coalitions. Lone Grønbæk Kronbak Marko Lindroos
An Enforcement-Coalton Model: Fshermen and Authortes formng Coaltons Lone Grønbæ Kronba Maro Lndroos December 003 All rghts reserved. No part of ths WORKING PAPER may be used or reproduced n any manner
More informationMODELLING ANCILLARIES: WEIR COEFFICIENTS
WaPUG USER NOTE No 27 MODELLING ANCILLARIES: WEIR COEFFICIENTS David Balmforth, MWH 1. SCOPE This user note gives advice on the choice of coefficient for overflo eirs and orifices hen modelling storm seage
More informationMischa Salkind-Pearl Oceans:
Mischa Salkid-Pearl Oceas: waves merge with the bright sky or Masaki Hasebe ive cellos Perormace Istructios: Accidetals: There are several quarter-toe ad microtoal accidetals used i this score. They are
More informationPreview Only. Three Georgian. Legal Use Requires Purchase. By Robert Sheldon. Instrumentation
Grade Level: (Medium) Three Georgian Vignettes Instrumentation Conductor Score 5 st lute iccolo 5 nd lute Ooe Bassoon st B Clarinet nd B Clarinet rd B Clarinet B Bass Clarinet st E Alto Saxohone nd E Alto
More informationTHE EFFECTS OF COUPLED INDUCTORS IN PARALLEL INTERLEAVED BUCK CONVERTERS
THE EFFECTS OF COUPED INDUCTORS IN PARAE INTEREAVED BUCK CONVERTERS Paul Seria, David Fi ad Geoff Walker pseria@itee.uq.edu.au School of Iformatio Techology ad Electrical Egieerig Uiversity of Queeslad
More informationCS 2750 Machine Learning. Lecture 4. Density estimation. CS 2750 Machine Learning. Announcements
CS 75 Machne Learnng Lecture 4 ensty estmaton Mlos Hauskrecht mlos@cs.ptt.edu 539 Sennott Square CS 75 Machne Learnng Announcements Homework ue on Wednesday before the class Reports: hand n before the
More informationBasic Gas Spring Theory
Calculatig the iitial force The iitial force of the gas sprig ca be calculated as the sealed area of the pisto rod or the pisto (depedig o desig) multiplied by the pressure iside the gas sprig. The larger
More informationRange St. Dev. n Mean. Total Mean % Competency. Range St. Dev. n Mean. Total Mean % Competency
CSWE Core Competecies - MSW 2013 MSW Program Dual Degree MSW/JD Program* *Due to the curret limited umber of Dual Degree studets, the MSW outcomes data represets outcomes for both programs. 1 : Idetify
More informationOur club has a rich history that dates back to the turn of the 20th century.
M E MB E R SHIP IN F O RM AT IO N 9 7 8-7 7 9-6 9 1 9 t h e i t e r at i o a l. c o m 1 5 9 B a l lv i l l e R d, B o lto, MA 01740 Dear Prospective Member Thak you for your iterest i membership at The
More informationELIGIBILITY / LEVELS / VENUES
ELIGIBILITY / LEVELS / VENUES 10U - SQUIRT MINOR '09 & MAJOR '08 Eligibility: Top six teams i the league at each level will qualify based o regular seaso league play. Format: Divisioal crossover with semi-fial
More informationELIGIBILITY / LEVELS / VENUES
ELIGIBILITY / LEVELS / VENUES 10U - SQUIRT MINOR '09 & MAJOR '08 Eligibility: Top six teams i the league at each level will qualify based o regular seaso league play. Format: Divisioal crossover with semi-fial
More informationELIGIBILITY / LEVELS / VENUES
ELIGIBILITY / LEVELS / VENUES 10U - SQUIRT MINOR '08 & MAJOR '07 Eligibility: Top six teams i the league at each level will qualify based o regular seaso league play. Format: Divisioal crossover with semi-fial
More informationThe Analysis of Bullwhip Effect in Supply Chain Based on Strategic Alliance
The Aalysis of Bullwhip Effect i Supply Chai Based o Strategic Alliace Rui Xu, Xiaoli Li, Xiaomi Sog, Gag Liu School of Busiess, Hubei Uiversy, Wuha, 430062, P. R. Chia, wdxj826@126.com Abstract. Bullwhip
More informationELIGIBILITY / LEVELS / VENUES
ELIGIBILITY / LEVELS / VENUES 10U - SQUIRT MINOR '08 & MAJOR '07 Eligibility: Top six teams i the league at each level will qualify based o regular seaso league play. Format: Divisioal crossover with semi-fial
More informationHeld under the sanction of USA Swimming, issued by North Carolina Swimming, Inc. Sanction No. NC11117
The Greesboro Swimmig Associatio's 2011 Joh Gordo Dewey Ivitatioal Swim Meet November 19-20, 2011 The Greesboro Aquatic Ceter 1921 West Lee Street, Greesboro, NC 27403 SANCTION: HOST: FACILITY: Held uder
More informationSPE Gas Slippage in Two-Phase Flow and the Effect of Temperature Kewen Li, SPE, and Roland N. Horne, SPE, Stanford University
PE 68778 Gas lippage in To-Phase Flo and the Effect of Temperature Keen Li, PE, and Roland N. Horne, PE, tanford University Copyright 2001, ociety of Petroleum Engineers Inc. This paper as prepared for
More informationWhen rule-based models need to count
Whe rule-based models eed to cout Pierre Boutillier, Ioaa Cristescu To cite this versio: Pierre Boutillier, Ioaa Cristescu. Whe rule-based models eed to cout. [Research Reort] Harvard Medical School. 2017.
More informationHERKIMER CENTRAL SCHOOL DISTRICT Herkimer Elementary School 255 Gros Boulevard Herkimer, New York 13350
HERKIMER CENTRAL SCHOOL DISTRICT Herkimer Elemetary School 255 Gros Boulevard Herkimer, New York 13350 Robert J. Miller Superitedet ofschools 315-866-2230, Ext. 1302 FAX 315-866-2234 Reee L. Vogt, Pricipal
More informationMajor League Duopolists: When Baseball Clubs Play in Two-Team Cities. Phillip Miller. Department of Economics. Minnesota State University, Mankato
Major League Duopolsts: When Baseball Clubs Play n Two-Team Ctes Phllp Mller Department of Economcs Mnnesota State Unversty, Mankato September 2006 Abstract: Ths paper focuses on examnng the attendance
More informationA tennis curriculum for the fundamental stage of development
A tennis curriculum for the fundamental stage of develoment TABLE OF CONTENTS Big Picture - Long Term Athelete Develoment 1 Progressive Tennis 2 Structure of Curriculum 3 Creating Lessons 4 Program Descritions
More informationHeadfirst Entry - Diving and Sliding
5/31/2011 Safe divig board use, safe slide use, usi Headfirst Etry - Divig ad Slidig POOLALARMS.COM HOME POOL SAFETY PRODUCTS POOL SAFETY ARTICLES & REPORTS POOL SAFETY LINKS & RESOURCES POOLALARMS.COM
More informationRoll Wave! Dear Tulane Green Wave Fans,
Dear Tulae Gree Wave Fas, Tulae football is comig home! After almost 40 years, the Wave is returig to our beautiful uptow campus, which will esure a classic college football experiece for our studets,
More informationIntroduction to Algorithms 6.046J/18.401J/SMA5503
Itroductio to Algorithms 6.046J/8.40J/SMA5503 Lecture 4 Prof. Charles E. Leiserso Quicsort Proposed by C.A.R. Hoare i 962. Divide-ad-coquer algorithm. Sorts i place lie isertio sort, but ot lie merge sort.
More informationn Mix of public, private and NGO respondents Overview n Understanding Walking & Biking Trips n Informing Project Development through:
Creatig Walkable, Bikeable Commuities Developig Effective Active Trasportatio Projects ad Programs ATP Needs & Challeges Survey Mix of public, private ad NGO respodets 96% from orgaizatios/agecies servig
More informationSPH4U Transmission of Waves in One and Two Dimensions LoRusso
Waves travelig travellig from oe medium to aother will exhibit differet characteristics withi each medium. Rules A wave of fixed frequecy will have a shorter wavelegth whe passig from a fast medium to
More informationDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING, THE UNIVERSITY OF NEW MEXICO ECE-238L: Computer Logic Design Fall Notes - Chapter 6.
PARTMNT OF LCTRICAL AN COMPUTR NGINRING, TH UNIVRSITY OF NW MXICO C-238L: Computer Logic esig Fall 23 RGISTRS: Notes - Chapter 6 -bit Register: This is a collectio of '' -type flip flops, where each flip
More informationEntrainment of Air into a Balcony Spill Plume
Entrainment of Air into a Balcony Sill Plume ROGER HARRISON 1, AND MICHAEL SPEARPOINT 2 1 BRE Fire and Security (incororating the Fire Research Station [FRS]), BRE, Watford, WD25 9XX, UK. 2 Deartment of
More informationoperate regenerator top without boiling aq. amine solution.
HSRemoval-MaterialBalacemcd Rough material balace for removal of H S from shale gas with MDEA ad recovery of elemetal sulfur via the Claus process The solvet has bee dow-selected to be methyldiethaolamie
More informationPATIO COVER SYSTEM AS MFG. BY: DURALUM PRODUCTS, INC. DESIGN REQUIREMENTS :
A B c D G H GEERAL OTES: GOVERG CODES : 1 THE DESG OF ATTACHED AD FREESTADG COVERS SHOW THS REPORT COMPLY WTH THE 2121TERATOAL BULDG AD RESDETAL CODES, 213 CALFORA BULDG AD RESDETAL CODES, ASCE/SE17-MMUM
More informationSequential parimutuel games
Sequetial parimutuel games Rob Feeey ad Stephe P. Kig Departmet of Ecoomics The Uiversity of Melboure Parkville, Vic. 3052. Australia Abstract: I a parimutuel bettig system, a successful player s retur
More informationExperimental and theoretical investigation of bending over sheave fatigue life of stranded steel wire rope
Id Jourl of Egeerg & Mterls Sceces Vol. 19, Jue 01, pp. 189-195 Expermetl d theoretcl vestgto of bedg over sheve ftgue lfe of strded steel wre rope Yusuf Aytç Our * & C Erdem İmrk b Mechcl Egeerg, Bulet
More informationEMSBS/EMST. Drill For Machining Ultra-Deep Minute Holes FEATURES. For ultra-deep drilling of miniature holes. New chip stopper controls chip flow.
EMSBS/EMST Drill For Machiig Ultra-Deep Miute Holes FEATURES For ultra-deep drillig of miiature holes. New chip stopper cotrols chip flow. EMSBS: Deep hole mirco-drills with TH Coatig. EMST: Micro- starter
More informationJournal of Engineering Science and Technology Review 10 (6) (2017) Research Article
Jestr Joural of Egeerg Scece a Techology Revew 0 (6) (07) 04-0 Research Artcle Cooperato of the Spatal Iterpolato Algorthm for the Cotour Map of the Shockwave Overpressure Fel Yogl Zhag, Tal Ha,*, Hog
More informationWere the Vikings really vicious?
Year 5/6 Autumn Term Were the Vikings really vicious? This homework pack must be completed and returned to your teacher by Thursday 8th February Name: Danegeld by Rudyard Kipling 9 17 26 32 Fierce and
More informationO bservational studies show that people who undertake
924 RESEARCH REPORT Environmental ercetions and walking in English adults Charles Foster, Melvyn Hillsdon, Margaret Thorogood... See end of article for authors affiliations... Corresondence to: Mr C Foster,
More informationAnalysis and Experimental Of 3-Dimentional AOA with Directional Antenna on Narrowband MIMO Capacity
Vol., Issue. 6, Nov.-Dec. 0 pp-43-437 ISSN: 49-6645 Aalyss ad Expermetal Of 3-Dmetoal AOA wt Drectoal Atea o Narrowbad MIMO Capacty Carsak Saetaw, Sakst Summart, Caca Togsopa 3 3 (Scool of Telecommucato
More information» WYOMING s RIDE 2013
» WYOMING s RIDE 2013 WYOMING S RIDE 2013 preseted by First Iterstate Bak of Wyomig bikemswyomig.org 1 We are people who wat to do somethig about ow.» Our Wyomig Bike MS Ride Two-Day Wyomig Ride: To view
More informationStudy of Freeway Bottlenecks in Texas
TRANSPORTATON RESEARCH RECOR 1398. 31 Study of Freeay Bottlenecks in Texas ]OHN RNGERT AN THOMAS URBANK Observations of flo rates much higher than 2, passenger cars per hour per lane and the recent revision
More informationSeries 600 Accessories
Series 600 Geeral These accessories are a rage of devices for completig a peumatic circuit. These valves, with their special fuctios, are iserted betwee two valves, betwee a valve ad a cylider, or followig
More informationChapter 3 Reserve Estimation. Lecture notes for PET 370 Spring 2012 Prepared by: Thomas W. Engler, Ph.D., P.E.
Chapter 3 Reserve Estmaton Lecture notes for PET 370 prng 2012 Prepared by: Thomas W. Engler, Ph.D., P.E. Volumetrc N ol n 7758A B o place, n h f (1 1 ) here, N = ol n place, stb A = dranage area, acres
More informationClimbing/Rappelling NATIONAL STANDARDS BOY SCOUTS OF AMERICA
2007 Climbig/Rappellig NATIONAL STANDARDS BOY SCOUTS OF AMERICA These stadards apply to coucil ad district climbig/rappellig activities. Climb O Safely, No. 20-099B, applies to uit activities. Toppig Out,
More informationWORKING PAPER SERIES Long-term Competitive Balance under UEFA Financial Fair Play Regulations Markus Sass Working Paper No. 5/2012
WORKING PAPER SERIES Impressum ( 5 TMG) Herausgeber: Otto-von-Guercke-Unverstät Magdeburg Fakultät für Wrtschaftswssenschaft Der Dekan Verantwortlch für dese Ausgabe: Otto-von-Guercke-Unverstät Magdeburg
More information