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Experimental design

Most popular at the top

  • Applied Bayesian Modellingby Peter Congdon

    Wiley 2003; US$ 146.00

    The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and... more...

  • Extending the Linear Model with Rby Julian J. Faraway

    CRC Press 2005; US$ 99.95

    Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which situations each one applies. Following in those... more...

  • Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectivesby Andrew Gelman; Xiao-Li Meng

    Wiley 2004; US$ 140.00

    "I congratulate the editors on this volume; it really is an essential and very enjoyable journey with Don Rubin's statistical family." ( Biometrics , September 2006) "…contains much current important work…" ( Technometrics , November 2005) "This a useful reference book on an important topic with applications to a wide range of disciplines."... more...

  • Decision Spaceby Paul Weirich

    Cambridge University Press 2001; US$ 56.00

    This book, first published in 2001, combines traditional and novel methods of option evaluation into one systematic and versatile method. more...

  • Bayesian Models for Categorical Databy Peter Congdon

    Wiley 2005; US$ 133.00

    Peter Congdon, Queen Mary, University of London, UK Peter is the author of two best-selling Wiley books on Bayesian modelling – Bayesian Statistical Modelling , and Applied Bayesian Modelling . more...

  • The Theory of the Design of Experimentsby D.R. Cox; Nancy Reid

    CRC Press 2000; US$ 139.95

    SOME GENERAL CONCEPTS Types of Investigation Observational Studies Some Key Terms Requirements in Design Interplay between Design and Analysis Key Steps in Design A Simplified Model A Broader View AVOIDANCE OF BIAS General Remarks Randomization Retrospective Adjustment for Bias Some More on Randomization More on Causality CONTROL OF HAPHAZARD VARIATION... more...

  • Analysis of Messy Data, Volume IIIby George A. Milliken; Dallas E. Johnson

    CRC Press 2001; US$ 139.95

    Introduction to the Analysis of Covariance One-Way Analysis of Covariance-One Covariate in a Completely Randomized Design Structure Examples: One-Way Analysis of Covariance-One Covariate in a Completely Randomized Design Structure Multiple Covariates in a One-Way Treatment Structure in a Completely Randomized Design Structure Two-Way Treatment Structure... more...

  • Analysis of Pretest-Posttest Designsby Peter L. Bonate

    CRC Press 2000; US$ 159.95

    INTRODUCTION Clinical Applications of Pretest-Posttest Data Why use the Pretest Data Graphical Presentation of Pretest-Posttest Data How to Analyze Pretest-Postest Data: Possible Solutions A Note on SAS Notation Focus of the Book MEASUREMENT CONCEPTS What is Validity? What is Reliability? What is Regression Towards the Mean? Why is Regression Towards... more...

  • Analysis of Variance and Functional Measurementby David J. Weiss

    Oxford University Press 2006; US$ 74.99

    Beginning with the basics, then proceeding to more advanced concepts, and including exercises and discussions of how to present the results, this volume explains ANOVA, a set of statistical techniques for analysing the results of controlled or quasi-controlled experiments. It is useful for students and professionals. more...

  • Generalized Linear Models with Random Effectsby Youngjo Lee; John A. Nelder; Yudi Pawitan

    CRC Press 2006; US$ 125.95

    LIST OF NOTATIONS PREFACE INTRODUCTION CLASSICAL LIKELIHOOD THEORY Definition Quantities derived from the likelihood Profile likelihood Distribution of the likelihood-ratio statistic Distribution of the MLE and the Wald statistic Model selection Marginal and conditional likelihoods Higher-order approximations Adjusted profile likelihood ... more...