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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...

  • 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...

  • 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...

  • 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...

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

    CRC Press 2001; US$ 139.95

    Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. Analysis of Messy Data, Volume 3: Analysis of Covariance takes the unique approach of treating the analysis of covariance problem by looking... more...

  • Analysis of Pretest-Posttest Designsby Peter L. Bonate

    CRC Press 2000; US$ 159.95

    How do you analyze pretest-posttest data? Difference scores? Percent change scores? ANOVA? In medical, psychological, sociological, and educational studies, researchers often design experiments in which they collect baseline (pretest) data prior to randomization. However, they often find it difficult to decide which method of statistical analysis is... more...

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

    CRC Press 2000; US$ 139.95

    Why study the theory of experiment design? Although it can be useful to know about special designs for specific purposes, experience suggests that a particular design can rarely be used directly. It needs adaptation to accommodate the circumstances of the experiment. Successful designs depend upon adapting general theoretical principles to the special... more...

  • Analysis of Variance and Functional Measurementby David J. Weiss

    Oxford University Press 2006; US$ 77.99

    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

    Since their introduction in 1972, generalized linear models (GLMs) have proven useful in the generalization of classical normal models. Presenting methods for fitting GLMs with random effects to data, Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood explores a wide range of applications, including combining information... more...