Design and Analysis of Experiments with R

1 Design and Analysis of Experiments with RCHAPMAN & HALL/CRC Texts in Statistical Science SeriesSeries EditorsFrancesca Dominici, Harvard School of Public Health, USAJ ulian J. Faraway, University of Bath, UKMartin Tanner, Northwestern University, USAJim Zidek, University of British Columbia, CanadaStatistical Theory: A Concise Introduction F. Abramovich and Y. Ritov Practical Multivariate Analysis , Fifth EditionA. Afifi, S. May, and ClarkPractical Statistics for Medical AltmanInterpreting Data: A First Course in AndersonIntroduction to Probability with R K.

2 BaclawskiLinear Algebra and Matrix Analysis for StatisticsS. Banerjee and A. RoyAnalysis of Categorical Data with RC. R. Bilder and T. M. LoughinStatistical Methods for SPC and TQMD. BissellIntroduction to ProbabilityJ. K. Blitzstein and J. HwangBayesian Methods for Data Analysis , Third Edition Carlin and LouisSecond EditionR. CaulcuttThe Analysis of Time Series: An Introduction, Sixth Edition C. Chatfield Introduction to Multivariate Analysis C. Chatfield and Collins Problem Solving: A Statistician s Guide, Second Edition C. ChatfieldStatistics for Technology: A Course in Applied Statistics, Third EditionC.

3 ChatfieldBayesian Ideas and Data Analysis : An Introduction for Scientists and Statisticians R. Christensen, W. Johnson, A. Branscum, and HansonModelling Binary Data, Second EditionD. CollettModelling Survival Data in Medical Research, Third EditionD. CollettIntroduction to Statistical Methods for Clinical Trials Cook and DeMets Applied Statistics: Principles and Examples Cox and SnellMultivariate Survival Analysis and Competing RisksM. CrowderStatistical Analysis of Reliability Crowder, Kimber, Sweeting, and SmithAn Introduction to Generalized Linear Models, Third Dobson and BarnettNonlinear Time Series: Theory, Methods, and Applications with R ExamplesR.

4 Douc, E. Moulines, and StofferIntroduction to Optimization Methods and Their Applications in Statistics EverittExtending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression FarawayLinear Models with R, Second FarawayA Course in Large Sample FergusonMultivariate Statistics: A Practical ApproachB. Flury and H. RiedwylReadings in Decision Analysis S. FrenchMarkov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second EditionD. Gamerman and LopesBayesian Data Analysis , Third Edition A.

5 Gelman, Carlin, Stern, Dunson, A. Vehtari, and RubinMultivariate Analysis of Variance and Repeated Measures: A Practical Approach for Behavioural Hand and TaylorPractical Longitudinal Data Hand and M. CrowderLogistic Regression Models Hilbe Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects Hodges Statistics for Epidemiology JewellStochastic Processes: An Introduction, Second Jones and P. Smith The Theory of Linear ModelsB. J rgensenPrinciples of KadaneGraphics for Statistics and Data Analysis with KeenMathematical Statistics K.

6 Knight Introduction to Multivariate Analysis : Linear and Nonlinear ModelingS. KonishiNonparametric Methods in Statistics with SAS ApplicationsO. KorostelevaModeling and Analysis of Stochastic Systems, Second KulkarniExercises and Solutions in Biostatistical Kupper, Neelon, and O BrienExercises and Solutions in Statistical Kupper, Neelon, and O BrienDesign and Analysis of Experiments with RJ. LawsonDesign and Analysis of Experiments with SASJ. LawsonA Course in Categorical Data Analysis T. Leonard Statistics for AccountantsS.

7 LetchfordIntroduction to the Theory of Statistical Inference H. Liero and S. ZwanzigStatistical Theory, Fourth Lindgren Stationary Stochastic Processes: Theory and Applications G. LindgrenThe BUGS Book: A Practical Introduction to Bayesian Analysis D. Lunn, C. Jackson, N. Best, A. Thomas, and D. SpiegelhalterIntroduction to General and Generalized Linear ModelsH. Madsen and P. ThyregodTime Series AnalysisH. MadsenP lya Urn ModelsH. MahmoudRandomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition ManlyIntroduction to Randomized Controlled Clinical Trials, Second Edition MatthewsStatistical Methods in Agriculture and Experimental Biology, Second EditionR.

8 Mead, Curnow, and HastedStatistics in Engineering: A Practical MetcalfeStatistical Inference: An Integrated Approach, Second EditionH. S. Migon, D. Gamerman, and F. LouzadaBeyond ANOVA: Basics of Applied Statistics Miller, Primer on Linear MonahanApplied Stochastic Modelling, Second Edition MorganElements of Simulation MorganProbability: Methods and MeasurementA. O HaganIntroduction to Statistical Limit PolanskyApplied Bayesian Forecasting and Time Series AnalysisA. Pole, M. West, and J. HarrisonStatistics in Research and Development, Time Series: Modeling, Computation, and InferenceR.

9 Prado and M. WestIntroduction to Statistical Process Control P. Qiu Sampling Methodologies with Applications RaoA First Course in Linear Model TheoryN. Ravishanker and DeyEssential Statistics, Fourth Edition ReesStochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Samaniego Statistical Methods for Spatial Data AnalysisO. Schabenberger and GotwayBayesian Networks: With Examples in RM. Scutari and DenisLarge Sample Methods in Sen and J. da Motta SingerDecision Analysis : A Bayesian SmithAnalysis of Failure and Survival DataP.

10 J. SmithApplied Statistics: Handbook of GENSTAT Analyses Snell and H. Simpson Applied Nonparametric Statistical Methods, Fourth Edition P. Sprent and SmeetonData Driven Statistical Methods P. Sprent Generalized Linear Mixed Models: Modern Concepts, Methods and ApplicationsW. W. StroupSurvival Analysis Using S: Analysis of Time-to-Event DataM. Tableman and KimApplied Categorical and Count Data Analysis W. Tang, H. He, and Tu Elementary Applications of Probability Theory, Second Edition TuckwellIntroduction to Statistical Inference and Its Applications with R Trosset Understanding Advanced Statistical Westfall and HenningStatistical Process Control: Theory and Practice, Third Edition Wetherill and BrownGeneralized Additive Models: An Introduction with RS.