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Experimental design

Most popular at the top

  • 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

    This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated... more...

  • Bayesian Models for Categorical Databy Peter Congdon

    Wiley 2005; US$ 133.00

    The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing... 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 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...

  • Analysis of Variance and Functional Measurementby David J. Weiss

    Oxford University Press 2006; US$ 82.99

    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...

  • Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientistsby Howard B. Stauffer

    Wiley 2007; US$ 144.00

    Howard B. Stauffer, PhD , is Professor of Applied Statistics and former chairperson of the Mathematics Department at Humboldt State University. Dr. Stauffer has over thirty-five years of experience in academia, government, and industry specializing in sampling and experimental design and analysis, in addition to the current methodologies in statistical... more...