Hypothesis testing: ANOVA Test of the equality of means among c groups. Flow-chart

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Hypothesis testing: ANOVA Test of the equality of means among c groups. Flow-chart"

Transcription

1 Hypothesis testig: ANOVA Test of the equality of meas amog groups February 6, 200 Moez Hababou() Flow-hart Desribig iformatios Drawig olusios Foreastig Improve busiess proesses Data Colletio Probability & Probability Distributio Regressio Aalysis Time-series Aalysis Summary tables ad harts estimatio Hypothesis testig Simple Regressio model Multiple Regressio model Desriptive Statistis Oe sample Two samples Two or more samples February 6, 200 Moez Hababou() 2

2 Proedure for hypothesis testig for the mea differee betwee two samples State ull hypothesis H o : µ =µ 2 = =µ State alterative hypothesis H A : at least oe µ is differet Determie test statistis F=(SSA/-)/(SSW/-) Determie reetio regios Choose ofidee level Make olusios February 6, 200 Moez Hababou() 3 Illustratig ull ad alterative hypotheses µ µ2 µ3 Η Α : µ=µ3<µ2 µ µ2 µ3 Η ο : µ=µ3=µ2 February 6, 200 Moez Hababou() 4 2

3 Deomposig total variatio Total Variatio (SST) df=- Amog group variatio (SSA) df= - withi group variatio (SSW) df= - February 6, 200 Moez Hababou() 5 SST = Deomposig variatio: Total variatio SST = = umber of observatio s i group# = total umber of observatio s i all group ombied = i= = i= + 2 ( ) = grad mea = observatio #i i group# i = umber of groups i i February 6, 200 Moez Hababou() 6 3

4 SSA = Amog-group variatio: SSA = = = umber = total umber = + = = i= i= = ( 2 ) grad mea for group# = umber of groups i i mea of observatio s i group# of observatio s i all group 2 ombied February 6, 200 Moez Hababou() 7 Withi-group variatio: SSW SSW = i = = = umber = total umber = + ( mea for group# observatio #ii group# i= = = i= = umber of groups i i ) of observatio s i group# of observatio s i all group 2 ombied February 6, 200 Moez Hababou() 8 4

5 Calulatig the mea squares ad the oe-way ANOVA F-test statisti SSA MSA = SSW MSW = SST MST = MSA F = = MSW SSA SSW Mea squared sum amog groups Mea squared sum withi groups Total mea squared sum oe-way ANOVA F-test statisti February 6, 200 Moez Hababou() 9 ANOVA summary table Soure of variatio Degrees of freedom Sum of squares Mea square F P-value Amog groups - SSA MSA=SSA/(-) F=MSA/MS W Withi groups - SSW MSW=SSW/(-) Total - SST=SSA+ SSW Exerise: LKB 7.42 pp394 February 6, 200 Moez Hababou() 0 5

6 Deisio rule F=MSA/MSW follows F-distributio with -, - degree of freedom At a level of sigifiae α, we would Reet Ho: µ =µ 2 =... =µ if F>F U(α,-,-) I that ase olude that at least oe group mea µ is statistially differet from the other group meas Do ot Reet Ho: µ =µ 2 =... =µ if F<F U(α,-,-) I that ase olude that we a ot ifer at least o µ is statistially differet from the other group meas February 6, 200 Moez Hababou() Reetio ad aeptae regio -a Do ot Reet Ho Reet Ho a F U,α February 6, 200 Moez Hababou() 2 6

7 Assumptios Radomess ad idepedee betwee samples (samples draw from idepedet radom populatios) Pseudo-ormality of eah sampled group Homogeeity of variae σ 2 =σ2 2 =... =σ2 February 6, 200 Moez Hababou() 3 Example# It is widely believed that eduatio ad holdig additioal degrees irease salary. Verify this statemet, a sample of 44 employees from ompay A were radomly seleted. They a either hold o degree, or a ollege, or a uiversity degree. Is it true, at the 5% level, that all three groups of employees have equal average salaries at ompay A? February 6, 200 Moez Hababou() 4 7

8 ANOVA: umerial appliatio Salary Degree i-barbar (i-barbar) 2 (i-bar) (i-bar) 2 23,253-3,284 0,782,244 -,82,398,99 26, ,943,964 3,855,5 9,876-6,66 44,364,028-4,559 20,788,626 23,602-2,935 8,62, ,646 2,864-4,673 2,833,497-2,57 6,62,378 9,33-7,224 52,80,870-5,22 26,239,54 22,98-3,556 2,642,524 -,454 2,5,438 25,0 -,427 2,035, ,02 30,83 4,294 8,44,590 6,396 40,903,002 30,657 4,20 6,977,426 6,222 38,707,628 24,904 -,633 2,665, ,535 26, , ,846 2,69 2-4,98 24,83,2-4,50 20,262,79 23, ,935 8,62,069-2,58 6,342,444 22, ,090 6,725,096-3,673 3,494,02 23, ,935 8,62,069-2,58 6,342,444 23,43 2-3,24 9,757,08-2,707 7,330,28 2, ,082 25,822,99-4,665 2,766,53 25, ,465 2,45,49 -,048,099,86 2, ,868 23,693,848-4,45 9,85,48 24, ,797 3,227,889 -,380,905,562 23, ,935 8,64,006-2,59 6,344,06 25, , ,79 26, , , ,087 9,532,426-2,67 7,35,582 29, ,06 9,37,970 3,478 2,093,556 33, ,38 50,956,287 7,555 57,07,665 27, ,899,009,07,232 32,70 2 6,64 37,999,424 6,58 43,304,02 3, ,9 26,950,294 5,608 3,444,943 29,87 2 2,650 7,024,447 3,067 9,403,907 3, ,9 26,950,294 5,608 3,444,943 3, ,9 26,950,294 2,537 6,435,946 34,6 3 7,624 58,30,976 4,970 24,700,072 30,00 3 3,473 2,064, ,625 33, ,38 50,956,287 4,484 20,05,509 35,33 3 8,596 73,897,530 5,942 35,306,374 22, ,640 3,246,926-6,294 39,65,485 24, ,087 4,354,036-4,74 22,477,87 34,34 3 7,597 57,79,989 4,943 24,432,425 24, ,765 3,3,929-4,49 9,528,298 28, ,238 5,00, ,25 24, ,797 3,227,889-4,45 9,82,43 25, ,433-3,373,377,69 SST= 80,9,555 SSW= 664,363,935 February 6, 200 Moez Hababou() 5 Computig SST, SSW, SSA SST=80,9,555 groups divided by degree group = No degree -bar=24,435 group2 = ollege degree 2-bar= 26,20 group3 = uiversity degree 3-bar= 29,9 SSW = = i= ( i ) 2 = 664,363,935 SST=SSA+SSW => SSA=SST-SSW = February 6, 200 Moez Hababou() 6 8

9 Alterative way to ompute SSA umber of groups =3 total sample size =44 SSA bar bar-barbar (bar-barbar) 2 *(bar-barbar)2 group 24,435-2,0 4,44, group2 2 26, , group3 2 29,9 2,654 7,046, barbar= 26,537 SSA February 6, 200 Moez Hababou() 7 Hypothesis testig Ho: µ=µ2=µ3 Ha: at least oe µ i is differet Soure of variatio degree of freedom sum of squares mea squared variae F amog groups betwee groups 4 664,363, total 43 80,9,555 reet Ho if F>F U(α, -,-) F U(α, 3-,44-3) = Sie F=4.2> F α,-,- Colusio: Reet Ho, at least oe group of employees has a salary that is statistially differet from the others February 6, 200 Moez Hababou() 8 9

10 Example#2 The retailig maager would like to kow whether produt pakagig has ay effet o the sale of offee paks. He observed reetly the five more reet daily sales (give ai umber of uits sold) for three types of pakages ad wishes if you a help him i this exerises? Day Day 2 Day 3 Day 4 Day 5 sober shiy February 6, 200 Moez Hababou() vitage ANOVA table ANOVA Soure SS df MS F P-value Amog Withi Total F.05,2,2 =3.88 F=5.22>F.05,2,2 =3.88 Reet Ho, at least oe group has average daily sales that is statistially differet from the other groups February 6, 200 Moez Hababou() 20 0

11 ANOVA versus 2 sample T-test ANOVA ust idiates that oe group mea is differet from the other ad does ot tell whether sigifiatly smaller (equivalet to two-tail test). 2 sample T-test a be a prohibitive exerise whe dealig with umerous groups (umber of pairs to ompare = (-)/2. T-tests are usually easier to reet. February 6, 200 Moez Hababou() 2 Sharp proedure for ANOVA (STAT) (TEST) (IputList)(ENTER)(ENTER) Eter data i L, L2,, L (=umber of groups) For this partiular exerise, use L=23, 22, 6, 5, 24 L2=26, 24, 25, 28, 3 L3=33, 2, 24, 29, 30 Hit 2dF (Matrix) Selet ANOVA Number of meas C= (eter 3 for this exerise) February 6, 200 Moez Hababou() 22

12 ANOVA proedure output SST SSW SSA , 94, 68 MSA NDF(-) MSW DDF(-) 84.4, 2, 6.6, 2 F P-value Group meas ANOM H LDL GRAND-MEAN UDL February 6, 200 Moez Hababou() 23 Hypothesis testig usig the p-value approah Deisio Rule: Reet Ho if p-value<α February 6, 200 Moez Hababou() 24 2

13 ANOM The Aalysis of Mea (ANOM) allows us to idetify whih group has a mea that is sigifiatly differet from the others. It also speifies whether it is sigifiatly smaller or sigifiatly larger. It is based o derivig a upper ad lower limits (UDL ad LDL). If -bar (mea group ) is larger tha UDL, we olude that it is sigifiatly larger tha the other groups average. If -bar (mea group ) is less tha LDL, we olude that it is sigifiatly larger tha the other groups average. February 6, 200 Moez Hababou() 25 LDL ad UDL LDL=barbar - h α,,- * square root(msw*(-)/) UDL=barbar + h α,,- * square root(msw*(-)/) barbar = grad mea h α,,- = Nelso s statisti at, - degree of freedom = total umber of observatios MSW = Mea squared sum withi groups MSW = SSW/- February 6, 200 Moez Hababou() 26 3

14 Sharp 9600-CL output Group meas ANOM H LDL GRAND-MEAN UDL February 6, 200 Moez Hababou() Graphial represetatio of ANOM UDL 3-bar 2-bar barbar LDL 20 -bar February 6, 200 Moez Hababou() 28 4

15 Suggested exerises LKB 7.42,7.4, 7.44, 7.47 February 6, 200 Moez Hababou() 29 5

Chapter 9, Part B Hypothesis Tests

Chapter 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 information

A few things to remember about ANOVA

A few things to remember about ANOVA A few things to remember about ANOVA 1) The F-test that is performed is always 1-tailed. This is because your alternative hypothesis is always that the between group variation is greater than the within

More information

THE LATENT DEMAND METHOD

THE LATENT DEMAND METHOD THE LATENT DEMAND METHOD Bruce W. Ladis, Russell M. Otteberg, Vekat R. Vattikuti SCI, Ic., 18115 U.S. Highway 41North, Suite 600, Lutz, FL 33549, USA Email: bladis@sciworld.et Travel patters i a metropolita

More information

8.5. Solving Equations II. Goal Solve equations by balancing.

8.5. 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 information

Week 7 One-way ANOVA

Week 7 One-way ANOVA Week 7 One-way ANOVA Objectives By the end of this lecture, you should be able to: Understand the shortcomings of comparing multiple means as pairs of hypotheses. Understand the steps of the ANOVA method

More information

University of California, Los Angeles Department of Statistics. Measures of central tendency and variation Data display

University 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 information

SPH4U Transmission of Waves in One and Two Dimensions LoRusso

SPH4U 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 information

Analysis of Variance. Copyright 2014 Pearson Education, Inc.

Analysis of Variance. Copyright 2014 Pearson Education, Inc. Analysis of Variance 12-1 Learning Outcomes Outcome 1. Understand the basic logic of analysis of variance. Outcome 2. Perform a hypothesis test for a single-factor design using analysis of variance manually

More information

GENETICS 101 GLOSSARY

GENETICS 101 GLOSSARY GENETICS 101 This documet is iteded to provide a basic uderstadig of caie geetics to the America Eskimo Dog (AED) ower ad breeder. It is simplified from scietific facts ad uderstadig. It is ot iteded to

More information

Introduction to Algorithms 6.046J/18.401J/SMA5503

Introduction 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 information

MGB 203B Homework # LSD = 1 1

MGB 203B Homework # LSD = 1 1 MGB 0B Homework # 4.4 a α =.05: t = =.05 LSD = α /,n k t.05, 7 t α /,n k MSE + =.05 700 + = 4.8 n i n j 0 0 i =, j = 8.7 0.4 7. i =, j = 8.7.7 5.0 i =, j = 0.4.7. Conclusion: µ differs from µ and µ. b

More information

Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA

Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA Limitations of the t-test Although the t-test is commonly used, it has limitations Can only

More information

Unit 4: Inference for numerical variables Lecture 3: ANOVA

Unit 4: Inference for numerical variables Lecture 3: ANOVA Unit 4: Inference for numerical variables Lecture 3: ANOVA Statistics 101 Thomas Leininger June 10, 2013 Announcements Announcements Proposals due tomorrow. Will be returned to you by Wednesday. You MUST

More information

Unit4: Inferencefornumericaldata 4. ANOVA. Sta Spring Duke University, Department of Statistical Science

Unit4: Inferencefornumericaldata 4. ANOVA. Sta Spring Duke University, Department of Statistical Science Unit4: Inferencefornumericaldata 4. ANOVA Sta 101 - Spring 2016 Duke University, Department of Statistical Science Dr. Çetinkaya-Rundel Slides posted at http://bit.ly/sta101_s16 Outline 1. Housekeeping

More information

number in a data set adds (or subtracts) that value to measures of center but does not affect measures of spread.

number 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 information

MINNESOTA DEER MANAGEMENT

MINNESOTA DEER MANAGEMENT MINNESOTA DEER MANAGEMENT A study of huter opiios about deer populatios ad maagemet: Blocks H H5 Fial Report A cooperative study coducted by: Miesota Cooperative Fish ad Wildlife Research Uit Miesota Departmet

More information

A SECOND SOLUTION FOR THE RHIND PAPYRUS UNIT FRACTION DECOMPOSITIONS

A SECOND SOLUTION FOR THE RHIND PAPYRUS UNIT FRACTION DECOMPOSITIONS Fudametal Joural of Mathematics ad Mathematical Scieces Vol., Issue, 0, Pages -55 This paper is available olie at http://www.frdit.com/ Published olie November 9, 0 A SECOND SOLUTION FOR THE RHIND PAPYRUS

More information

Factorial Analysis of Variance

Factorial Analysis of Variance Factorial Analysis of Variance Overview of the Factorial ANOVA Factorial ANOVA (Two-Way) In the context of ANOVA, an independent variable (or a quasiindependent variable) is called a factor, and research

More information

Stat 139 Homework 3 Solutions, Spring 2015

Stat 139 Homework 3 Solutions, Spring 2015 Stat 39 Homework 3 Solutions, Spring 05 Problem. Let i Nµ, σ ) for i,..., n, and j Nµ, σ ) for j,..., n. Also, assume that all observations are independent from each other. In Unit 4, we learned that the

More information

Patrick Boston (Leeds University) and Mark Chapman (Edinburgh University)

Patrick Boston (Leeds University) and Mark Chapman (Edinburgh University) Iversio o requecy-depedet AVO data or luid properties Patric Bosto (Leeds Uiversity) ad Mar Chapma (Ediburgh Uiversity) Summary A umber o methods to estimate the requecy-depedece o relectivity have bee

More information

AN ESTIMATION OF INTER-ZONAL BUS DEMAND ON COLOMBO - KALUTARA TRANSPORT CORRIDOR

AN ESTIMATION OF INTER-ZONAL BUS DEMAND ON COLOMBO - KALUTARA TRANSPORT CORRIDOR AN ESIMAION OF INER-ZONAL BUS DEMAND ON COLOMBO - KALUARA RANSPOR CORRIR Sama J. Widaapathiraage ad Amal S. Kumarage Departmet of Civil Egieerig, Uiversity of Moratuwa, Sri Laka. ABSRAC- I the past, it

More information

Lecture #5.1 Electromagnetic Waves During our study of classical mechanics we discussed mechanical waves. The most important everyday phenomenon to

Lecture #5.1 Electromagnetic Waves During our study of classical mechanics we discussed mechanical waves. The most important everyday phenomenon to Leture #5. Eletromageti Waves Durig our study of lassial mehais we disussed mehaial waves. The most importat everyday pheomeo to whih you a apply your kowledge of mehaial waves is distributio of soud.

More information

PLANNED ORTHOGONAL CONTRASTS

PLANNED ORTHOGONAL CONTRASTS PLANNED ORTHOGONAL CONTRASTS Please note: This handout is useful background for the workshop, not what s covered in it. Basic principles for contrasts are the same in repeated measures. Planned orthogonal

More information

Appendix E-1 Values of Wildlife (Tables)

Appendix E-1 Values of Wildlife (Tables) Appedix E1 Values of Wildlife (Tables) To: J.H.C. Walker, Diretor D.R. Halladay, Deputy Diretor Regioal Fish b Wildlife KaagerS Regioal Wildlife Biologists Date: Marh 28/89 Re: w t e of the V a W of W'

More information

Characterization of Refrigeration System Compressor Performance

Characterization of Refrigeration System Compressor Performance Purdue Uiversity Purdue e-pubs Iteratioal Refrigeratio ad Air Coditioig Coferece School of Mechaical Egieerig 2002 Characterizatio of Refrigeratio System Compressor Performace A. Mackese Uiversity of Wiscosi-Madiso

More information

THE EFFECTS OF COUPLED INDUCTORS IN PARALLEL INTERLEAVED BUCK CONVERTERS

THE 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 information

SYMMETRY AND VARIABILITY OF VERTICAL GROUND REACTION FORCE AND CENTER OF PRESSURE IN ABLE-BODIED GAIT

SYMMETRY AND VARIABILITY OF VERTICAL GROUND REACTION FORCE AND CENTER OF PRESSURE IN ABLE-BODIED GAIT SYMMETRY AND VARIABILITY OF VERTICAL GROUND REACTION FORCE AND CENTER OF PRESSURE IN ABLE-BODIED GAIT Yu Wag ad Kazuhiko Wataabe Graduate School of Educatio, Hiroshima Uiversity, Hiroshima, Japa, wagyu@hiroshima-u.ac.jp

More information

Projection Based Data Depth Procedure with Application in Discriminant Analysis

Projection Based Data Depth Procedure with Application in Discriminant Analysis Projectio Based Data Depth Procedure with Applicatio i Discrimiat Aalysis Muthukrisha R 1, Vadivel M, Ramkumar N 3 Departmet of Statistics, Bharathiar Uiversity, Coimbatore, Tamil Nadu, Idia 1,,3 Email:

More information

Available online at ScienceDirect. Procedia Engineering 113 (2015 )

Available online at  ScienceDirect. Procedia Engineering 113 (2015 ) Available olie at www.sciecedirect.com ScieceDirect rocedia Egieerig 3 (205 ) 30 305 Iteratioal Coferece o Oil ad Gas Egieerig, OGE-205 The twi spool efficiecy cotrol Michuri A.I. a *, Avtoomova I.V. a

More information

Experimental Design and Data Analysis Part 2

Experimental Design and Data Analysis Part 2 Experimental Design and Data Analysis Part 2 Assump@ons for Parametric Tests t- test and ANOVA Independence Variance Normality t-test Yes Yes Yes ANOVA Yes Yes Yes Lecture 7 AEC 460 Assume homogeneity

More information

ICC WORLD TWENTY ( WORLD CUP-2014 )- A CASE STUDY

ICC WORLD TWENTY ( WORLD CUP-2014 )- A CASE STUDY INTERNATIONAL JOURNAL OF MATHEMATICAL SCIENCES AND APPLICATIONS Volume 5 Number 1 Jauary-Jue 215 ICC WORLD TWENTY2-214 ( WORLD CUP-214 )- A CASE STUDY Bhavi Patel 1 ad Pravi Bhathawala 2 1 Assistat Professor,

More information

Influences of Teaching Styles and Motor Educability on Learning Outcomes of Volleyball

Influences of Teaching Styles and Motor Educability on Learning Outcomes of Volleyball Asia Social Sciece; Vol., No. 5; 14 ISSN 1911-17 E-ISSN 1911-5 Published by Caadia Ceter of Sciece ad Educatio Iflueces of Teachig Styles ad Motor Educability o Learig Outcomes of Volleyball Syamsuddi

More information

ANALYSIS AND MODELING TIME HEADWAY DISTRIBUTIONS UNDER HEAVY TRAFFIC FLOW CONDITIONS IN THE URBAN HIGHWAYS: CASE OF ISFAHAN

ANALYSIS AND MODELING TIME HEADWAY DISTRIBUTIONS UNDER HEAVY TRAFFIC FLOW CONDITIONS IN THE URBAN HIGHWAYS: CASE OF ISFAHAN TRANSPORT ISSN 648-442 prit / ISSN 648-348 olie 2 Volume 26(4): 375 382 doi:.3846/648442.2.635694 ANALYSIS AND MODELING TIME HEADWAY DISTRIBUTIONS UNDER HEAVY TRAFFIC FLOW CONDITIONS IN THE URBAN HIGHWAYS:

More information

Field Studies Tom Habib, Barry Nobert, Eric Brownrigg, & Dr. Evelyn Merrill. University of Alberta 1 October 2009 Deer Tracks

Field Studies Tom Habib, Barry Nobert, Eric Brownrigg, & Dr. Evelyn Merrill. University of Alberta 1 October 2009 Deer Tracks Uiversity of Alberta 1 October 2009 Tracks The Newsletter of the Norther Border Study With our last trappig seaso behid us, we are ow eterig the fial stages of field work for the Border Study. While we

More information

Basic Gas Spring Theory

Basic 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 information

The structure of the Fibonacci numbers in the modular ring Z 5

The 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 information

Lower Fraser River Sockeye Recreational Hook and Release Mortality Study

Lower Fraser River Sockeye Recreational Hook and Release Mortality Study Lower Fraser River Sockeye Recreatioal Hook ad Release Mortality Study Prelimiary Ivestigatios ito Short-term Hookig Mortality of Sockeye Caught ad Released at Grassy Bar, Fraser River, British Columbia,

More information

Precautions for Total Hip Replacement Patients Only

Precautions for Total Hip Replacement Patients Only Precautios for Total Hip Replacemet Patiets Oly The followig is a list of precautios to keep you from dislocatig your hip. Dislocatig meas to move a body part out of its usual positio. Durig your stay

More information

One-way ANOVA: round, narrow, wide

One-way ANOVA: round, narrow, wide 5/4/2009 9:19:18 AM Retrieving project from file: 'C:\DOCUMENTS AND SETTINGS\BOB S\DESKTOP\RJS\COURSES\MTAB\FIRSTBASE.MPJ' ========================================================================== This

More information

The Analysis of Bullwhip Effect in Supply Chain Based on Strategic Alliance

The 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 information

Analytical and numerical prediction of water sorptivity in cement-based materials

Analytical and numerical prediction of water sorptivity in cement-based materials Life Cycle Predictio ad Maagemet of Cocrete tructures, apporo, March Aalytical ad umerical predictio of water sorptivity i cemet-based materials Licheg WANG Dr. Dalia Uiversity of Techology, Dalia Chia

More information

A Data Envelopment Analysis Evaluation and Financial Resources Reallocation for Brazilian Olympic Sports

A Data Envelopment Analysis Evaluation and Financial Resources Reallocation for Brazilian Olympic Sports WSEAS TRANSACTIONS o SYSTEMS Reato Pescarii Valério, Lidia Agulo-Meza A Data Evelopmet Aalysis Evaluatio ad Fiacial Resources Reallocatio for Brazilia Olympic Sports RENATO PESCARINI VALÉRIO LIDIA ANGULO-MEZA

More information

draft final report NGSIM Arterial-Lane Selection Mode Federal Highway Administration Cambridge Systematics, Inc.

draft final report NGSIM Arterial-Lane Selection Mode Federal Highway Administration Cambridge Systematics, Inc. NGSIM Arterial-Lae Selectio Mode draft fial report prepared for Federal Highway Admiistratio prepared by Cambridge Systematics, Ic. with Itelliget Trasportatio Systems Laboratory Massachusetts Istitute

More information

Lower Fraser River Sockeye Recreational Hook and Release Mortality Study

Lower Fraser River Sockeye Recreational Hook and Release Mortality Study Lower Fraser River Sockeye Recreatioal Hook ad Release Mortality Study Fial Ivestigatios ito Short-term (0 to 4 h) Hookig Mortality of Sockeye (Ocorhychus erka) Caught ad Released at Grassy Bar, Fraser

More information

Policy sensitivity analysis of Karachi commuters

Policy sensitivity analysis of Karachi commuters Policy sesitivity aalysis of Karachi commuters A. Q. Memo 1 & K. Sao 2 1 Departmet of Civil Egieerig, NED Uiversity of Egieerig ad Techology, Karachi, Pakista 2 Departmet of Civil ad Evirometal Egieerig,

More information

An Integrated Prediction Model of Wave Groups and their Associated Long Waves in the Coupling Field of Surf and Breaking Zones on Bar- Type Beaches

An Integrated Prediction Model of Wave Groups and their Associated Long Waves in the Coupling Field of Surf and Breaking Zones on Bar- Type Beaches Joural of Coastal Researh SI 56 9-97 ICS9 (Proeedigs Portugal ISSN 749-58 A Itegrated Preditio Model of Wave Groups ad their Assoiated Log Waves i the Couplig Field of Surf ad reakig Zoes o ar- Type eahes

More information

Application of a Statistical Method to investigate patterns of beach evolution in the vicinity of a seawall

Application of a Statistical Method to investigate patterns of beach evolution in the vicinity of a seawall Joural of Coastal Research SI 95-99 ICS (Proceedigs) Polad ISSN 79-8 Applicatio of a Statistical Method to ivestigate patters of beach evolutio i the viciity of a seawall J. M. Horrillo-Caraballo ad D.E.

More information

MST 121: Supplementary resource material for Chapter A1, Sequences

MST 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 information

Statistical Analysis of PGA Tour Skill Rankings USGA Research and Test Center June 1, 2007

Statistical Analysis of PGA Tour Skill Rankings USGA Research and Test Center June 1, 2007 Statistical Analysis of PGA Tour Skill Rankings 198-26 USGA Research and Test Center June 1, 27 1. Introduction The PGA Tour has recorded and published Tour Player performance statistics since 198. All

More information

operate regenerator top without boiling aq. amine solution.

operate 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 information

Active Travel The Role of Self-Selection in Explaining the Effect of Built Environment on Active Travel

Active Travel The Role of Self-Selection in Explaining the Effect of Built Environment on Active Travel Active Livig Research Buildig Evidece to Prevet Childhood Obesity ad Support Active Commuities RESE ARCH brief Fall 2009 activelivigresearch.org Active Travel The Role of Self-Selectio i Explaiig the Effect

More information

Section I: Multiple Choice Select the best answer for each problem.

Section I: Multiple Choice Select the best answer for each problem. Inference for Linear Regression Review Section I: Multiple Choice Select the best answer for each problem. 1. Which of the following is NOT one of the conditions that must be satisfied in order to perform

More information

ELIGIBILITY / LEVELS / VENUES

ELIGIBILITY / 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 information

ELIGIBILITY / LEVELS / VENUES

ELIGIBILITY / 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 information

ELIGIBILITY / LEVELS / VENUES

ELIGIBILITY / 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 information

ELIGIBILITY / LEVELS / VENUES

ELIGIBILITY / 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 information

Lecture 13a: Chunks. Announcements. Announcements (III) Announcements (II) Project #3 Preview 4/18/18. Pipeline of NLP Tools

Lecture 13a: Chunks. Announcements. Announcements (III) Announcements (II) Project #3 Preview 4/18/18. Pipeline of NLP Tools Lecture 3a: Chuks Aoucemets Code Freeze Day! From here o out, do t chage your code Exceptios: Bug fixes : do t tell me why your code crashed, just fix it. Checkpoited before-ad-after: If you tell me how

More information

ELIGIBILITY / LEVELS / VENUES

ELIGIBILITY / 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 information

Sequential parimutuel games

Sequential 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 information

One-factor ANOVA by example

One-factor ANOVA by example ANOVA One-factor ANOVA by example 2 One-factor ANOVA by visual inspection 3 4 One-factor ANOVA H 0 H 0 : µ 1 = µ 2 = µ 3 = H A : not all means are equal 5 One-factor ANOVA but why not t-tests t-tests?

More information

A Comparison of MOEA/D, NSGA II and SPEA2 Algorithms

A Comparison of MOEA/D, NSGA II and SPEA2 Algorithms Iteratioal Joural of Egieerig Treds ad Applicatios (IJETA) Volume 4 Issue 6, Nov-Dec 7 RESEARCH ARTICLE A Comparo of MOEA/D, ad Algorithms Rajai [1], Dr. Aad Prakash [] Asstat Professor of Computer Sciece

More information

ELIGIBILITY / LEVELS / VENUES

ELIGIBILITY / 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 information

HURRICANE SANDY LIMITED REEVALUATION REPORT UNION BEACH, NEW JERSEY DRAFT ENGINEERING APPENDIX SUB APPENDIX E OVERTOPPING & FAILURE ANALYSIS

HURRICANE SANDY LIMITED REEVALUATION REPORT UNION BEACH, NEW JERSEY DRAFT ENGINEERING APPENDIX SUB APPENDIX E OVERTOPPING & FAILURE ANALYSIS HURRICANE SANDY LIMITED REEVALUATION REPORT UNION BEACH, NEW JERSEY DRAFT ENGINEERING APPENDIX SUB APPENDIX E OVERTOPPING & FAILURE ANALYSIS Revised 18 Feb 2015 1 OVERTOPPING & FAILURE ANALYSIS 1.0 Introdution

More information

2) What s the Purpose of Your Project?

2) What s the Purpose of Your Project? Creatig Walkable, Bikeable Commuities Developig Effective Active Trasportatio Projects ad Programs Overview: Tools ad Strategies to Predict ad Documet Bicyclig ad Walkig Rates 1) Why Documet the Need for

More information

This report presents an assessment of existing and future parking & traffic requirements, for the site based on the current development proposal.

This 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 information

1. Write down the ideal gas law and define all its variable and parameters. 2. Calculate the values and units of the ideal gas law constant R.

1. Write down the ideal gas law and define all its variable and parameters. 2. Calculate the values and units of the ideal gas law constant R. Ideal Gases Objectives:. Write dow the ideal gas law ad defie all its variable ad parameters.. Calculate the values ad uits of the ideal gas law costat R. 3. Calculate the value of oe variable,, T, or,

More information

Select Boxplot -> Multiple Y's (simple) and select all variable names.

Select Boxplot -> Multiple Y's (simple) and select all variable names. One Factor ANOVA in Minitab As an example, we will use the data below. A study looked at the days spent in the hospital for different regions of the United States. Can the company reject the claim the

More information

A Comparative Investigation of Reheat In Gas Turbine Cycles

A Comparative Investigation of Reheat In Gas Turbine Cycles Proceedigs of the Iteratioal Gas Turbie ogress 3 Tokyo November -7, 3 IGT3Tokyo TS-86 A omparative Ivestigatio of Reheat I Gas Turbie ycles K. Sarabchi Departmet of Mechaical egieerig Uiversity of Tabriz

More information

Intuitive Understanding of Throughput-Delay Tradeoff in Ad hoc Wireless Networks

Intuitive Understanding of Throughput-Delay Tradeoff in Ad hoc Wireless Networks Ituitive Uderstdig of Throughput-Dely Trdeoff i Ad hoc Wireless Networks Term Project: EECS 557 Witer 005 by Howrd Aderso Shrutivd Shrm Outlie Itroductio Modelig of d hoc etworks Throughput-Dely trdeoff

More information

Traffic conflicts at roundabouts: risk analysis under car-following conditions

Traffic conflicts at roundabouts: risk analysis under car-following conditions Itersectios Cotrol ad Safety 143 Traffic coflicts at roudabouts: risk aalysis uder car-followig coditios G. Guido, A. Vitale & V. Gallelli Departmet of Tow ad Coutry Plaig, Uiversity of Calabria, Italy

More information

Introductory Rules of Officiating Small Sided Games Under 6 &Under 8 HANDBOOK

Introductory Rules of Officiating Small Sided Games Under 6 &Under 8 HANDBOOK Itroductory Rules of Officiatig Small Sided Games Uder 6 &Uder 8 O F F I C I A L S HANDBOOK 1 T his hadbook is iteded to be used i cojuctio with the US Youth Soccer Small-sided Game Official s classroom

More information

Footwork is the foundation for a skilled basketball player, involving moves

Footwork 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 information

1973, 1975, A.w. Argue, B. Hillaby, and CD. Shepard

1973, 1975, A.w. Argue, B. Hillaby, and CD. Shepard ~, Distributio, Timig, Chage i Size, ad Stomach Cotets of Juveile Chiook ad Coho Salmo Caught i Cowicha Estuary ad Bay, 97, 975, 97 A.w. Argue, B. Hillaby, ad CD. Shepard Field Services Brach Departmet

More information

Appendix: Tables. Table XI. Table I. Table II. Table XII. Table III. Table IV

Appendix: Tables. Table XI. Table I. Table II. Table XII. Table III. Table IV Table I Table II Table III Table IV Table V Table VI Random Numbers Binomial Probabilities Poisson Probabilities Normal Curve Areas Exponentials Critical Values of t Table XI Table XII Percentage Points

More information

WIND TUNNEL EXPERIMENT ON THE EFFECT OF WIND ON SMOKE EXHAUST SYSTEMS FOR A HIGH RISE BUILDING

WIND TUNNEL EXPERIMENT ON THE EFFECT OF WIND ON SMOKE EXHAUST SYSTEMS FOR A HIGH RISE BUILDING WIND TUNNEL EXPERIMENT ON THE EFFECT OF WIND ON SMOKE EXHAUST SYSTEMS FOR A HIGH RISE BUILDING K.C. Chug Mechaical Egieerig, Natioal Yuli Uiversity of Sciece ad Techology Touliu City, Yuli 4, Taiwa ABSTRACT

More information

Chapter 12 Practice Test

Chapter 12 Practice Test Chapter 12 Practice Test 1. Which of the following is not one of the conditions that must be satisfied in order to perform inference about the slope of a least-squares regression line? (a) For each value

More information

Factorial ANOVA Problems

Factorial ANOVA Problems Factorial ANOVA Problems Q.1. In a 2-Factor ANOVA, measuring the effects of 2 factors (A and B) on a response (y), there are 3 levels each for factors A and B, and 4 replications per treatment combination.

More information

Our club has a rich history that dates back to the turn of the 20th century.

Our 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 information

HYDRAULIC MOTORS MM APPLICATION CONTENTS GENERAL MOTORS

HYDRAULIC MOTORS MM APPLICATION CONTENTS GENERAL MOTORS HYDRULIC OORS OORS CONENS Specificatio data... 5 Fuctio diagrams... 6 8 Dimesios ad moutig... 9 1 Shaft extesios... 11 Permissible shaft loads... 11 Order code... 12 GENERL PPLICION Coveyors extile machies

More information

Extensible Detection and Indexing of Highlight Events in Broadcasted Sports Video

Extensible Detection and Indexing of Highlight Events in Broadcasted Sports Video Extesible Detectio ad Idexig of Highlight Evets i Broadcasted Sports Video Dia W. Tjodroegoro 1, Yi-Pig Phoebe Che 2, Bih Pham 3 1 School of Iformatio Systems, Queeslad Uiversity of Techology, Brisbae,

More information

PERFORMANCE TEAM EVALUATION IN 2008 BEIJING OLYMPIC GAMES

PERFORMANCE TEAM EVALUATION IN 2008 BEIJING OLYMPIC GAMES XV INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT The Idustrial Egieerig ad the Sustaiable Developmet: Itegratig Techology ad Maagemet. Salvador, BA, Brazil, 06 to 09 October

More information

Real time lane departure warning system based on principal component analysis of grayscale distribution and risk evaluation model

Real time lane departure warning system based on principal component analysis of grayscale distribution and risk evaluation model DOI: 10.1007/s11771 014 2105 2 Real time lae departure warig system based o pricipal compoet aalysis of grayscale distributio ad risk evaluatio model ZHANG Wei wei( 张伟伟 ), SONG Xiao li( 宋晓琳 ), ZHANG Gui

More information

DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING, THE UNIVERSITY OF NEW MEXICO ECE-238L: Computer Logic Design Fall Notes - Chapter 6.

DEPARTMENT 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 information

Name May 3, 2007 Math Probability and Statistics

Name May 3, 2007 Math Probability and Statistics Name May 3, 2007 Math 341 - Probability and Statistics Long Exam IV Instructions: Please include all relevant work to get full credit. Encircle your final answers. 1. An article in Professional Geographer

More information

A LIBRARY OF HVAC COMPONENT MODELS FOR USE IN AUTOMATED DIAGNOSTICS. Peng Xu, Philip Haves, Dimitri Curtil Lawrence Berkeley National Laboratory

A LIBRARY OF HVAC COMPONENT MODELS FOR USE IN AUTOMATED DIAGNOSTICS. Peng Xu, Philip Haves, Dimitri Curtil Lawrence Berkeley National Laboratory Secod Natioal IBPSA-USA Coferece Cambridge, MA August -4, 006 3 4 5 6 7 8 9 0 A LIBRARY OF HVAC COMPONENT MODELS FOR USE IN AUTOMATED DIAGNOSTICS ABSTRACT The paper describes ad documets a library of euipmet

More information

Catenary Analysis and Calculation Method of Track Rope of Cargo Cableway with Multiple Loads

Catenary Analysis and Calculation Method of Track Rope of Cargo Cableway with Multiple Loads MATEC Web of Cofereces 8, 01008 (016) DOI: 10.1051/ mateccof/016801008 DME 016 Cateary Aalysis ad Calculatio Method of Track Rope of Cargo Cableway with Multiple Loads Jia Qi a, Ju Che, Liag Qiao, Jiacheg

More information

Congruence Axioms. Data Required for Solving Oblique Triangles. 1 of 8 8/6/ THE LAW OF SINES

Congruence Axioms. Data Required for Solving Oblique Triangles. 1 of 8 8/6/ THE LAW OF SINES 1 of 8 8/6/2004 8.1 THE LAW OF SINES 8.1 THE LAW OF SINES Congrueny and Olique Triangles Derivation of the Law of Sines Appliations Amiguous Case Area of a Triangle Until now, our work with triangles has

More information

DAMAGE ASSESSMENT OF FIBRE ROPES FOR OFFSHORE MOORING

DAMAGE ASSESSMENT OF FIBRE ROPES FOR OFFSHORE MOORING RECOMMENDED PRACTICE DNV-RP-E304 DAMAGE ASSESSMENT OF FIBRE ROPES FOR OFFSHORE MOORING APRIL 2005 FOREWORD (DNV) is a autoomous ad idepedet foudatio with the objectives of safeguardig life, property ad

More information

Example 1: One Way ANOVA in MINITAB

Example 1: One Way ANOVA in MINITAB Example : One Way ANOVA in MINITAB A consumer group wants to compare a new brand of wax (Brand-X) to two leading brands (Sureglow and Microsheen) in terms of Effectiveness of wax. Following data is collected

More information

Brian Hayes. A reprint from. American Scientist. the magazine of Sigma Xi, the Scientific Research Society

Brian Hayes. A reprint from. American Scientist. the magazine of Sigma Xi, the Scientific Research Society COMPUTING SCIENCE HOW TO AVOID YOURSELF Bria Hayes A reprit from America Scietist the magazie of Sigma Xi, the Scietific Research Society Volume 86, Number 4 July August, 1998 pages 314 319 This reprit

More information

n UL Listed and FM Approved for n Solenoid control n Quick pressure relief valve 73Q n Pressure sustaining & reducing valve 723

n UL Listed and FM Approved for n Solenoid control n Quick pressure relief valve 73Q n Pressure sustaining & reducing valve 723 Pressure Relief/Sustaiig Valve Prioritizig pressure zoes Esurig cotrolled pipelie fill-up Prevetig pipelie emptyig Pump overload & cavitatio protectio Safeguardig pump miimum flow Excessive lie pressure

More information

ANALYSIS AND ASSESSMENT OF LITHUANIAN ROAD ACCIDENTS BY AHP METHOD

ANALYSIS AND ASSESSMENT OF LITHUANIAN ROAD ACCIDENTS BY AHP METHOD ISSN 1822-427X/eISSN 1822-4288 2018 Volume 13 Issue 3: 238 260 https://doi.org/10.7250/bjrbe.2018-13.414 ANALYSIS AND ASSESSMENT OF LITHUANIAN ROAD ACCIDENTS BY AHP METHOD MARIUS JAKIMAVIČIUS * Dept of

More information

HEEL RETENTION SYSTEMS

HEEL RETENTION SYSTEMS TECHNOLOGY OVERVIEW the whole may be greater tha the sum of its parts. But the parts are pretty cool too. Our costat pursuit of excellece is deeply embedded i our desig, techology ad materials. Every attribute

More information

Welcome to the world of the Rube Goldberg!

Welcome 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 information

Research Article. Relative analysis of Taekwondo back kick skills biomechanics based on 3D photograph parsing. Mingming Guo

Research Article. Relative analysis of Taekwondo back kick skills biomechanics based on 3D photograph parsing. Mingming Guo Available olie www.jocpr.com Joural of Chemical ad Pharmaceutical Research, 203, 5(2):64-69 Research Article ISSN : 0975-734 CODEN(USA) : JCPRC5 Relative aalysis of Taekwodo back kick skills biomechaics

More information

securing your safety

securing 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 information

A multivariate approach for defining fishing tactics from commercial catch and effort data

A multivariate approach for defining fishing tactics from commercial catch and effort data 51 A multivariate approach for defiig fishig tactics from commercial catch ad effort data Domiique Pelletier ad Jocelye Ferraris Ferraris 65 Itroductio Abstract: Fishig tactics correspod to fishig practices

More information

Gregarious Behaviour of Evasive Prey

Gregarious Behaviour of Evasive Prey Dicuio Paper No. 9 Gregariou Behaviour of Evaive Prey Ila Ehel* Emilia Saoe** Aver Shaked*** Jue 2004 *Ila Ehel, Tel Aviv **Emilia Saoe, Napoli ***Aver Shaked, Bo Fiacial upport from the Deutche Forchuggemeichaft

More information

Capacity of Shared-Short Lanes at Unsignalised Intersections

Capacity of Shared-Short Lanes at Unsignalised Intersections Nig Wu itle ad Abstract Author's Address apacity of Shared-Short aes at Usigalised Itersectios Nig Wu ABSA he calculatio procedures i recet highway capacity mauals do ot eactly treat ared/ort laes at usigalized

More information