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Experimental design

Most popular at the top

  • 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...

  • Approximation Methods for Efficient Learning of Bayesian Networksby C. Riggelsen

    IOS Press 2008; US$ 119.00

    This publication offers and investigates efficient Monte Carlo simulation methods in order to realize a Bayesian approach to approximate learning of Bayesian networks from both complete and incomplete data. For large amounts of incomplete data when Monte Carlo methods are inefficient, approximations are implemented, such that learning remains feasible,... more...

  • Probably Notby Lawrence N. Dworsky

    Wiley 2008; US$ 85.95

    Lawrence N. Dworsky, PhD, is a former corporate research lab director at Motorola, Inc., where he was also a member of the Science Advisory Board. He has also served as a consultant to the Defense Advanced Research Projects Agency (DARPA), Littelfuse Corp., and HRL Laboratories, LLC. A Fellow of the Institute of Electrical and Electronic Engineers,... more...

  • Analysis of Variance Designsby Glenn Gamst; Lawrence S. Meyers; A. J. Guarino

    Cambridge University Press 2008; US$ 84.00

    This textbook explains ANOVA designs for advanced undergraduates and graduate students in the behavioural sciences. more...

  • Introduction to Variance Estimationby Kirk Wolter

    Springer New York 2007; US$ 119.00

    Now available in paperback, this book is organized in a way that emphasizes both the theory and applications of the various variance estimating techniques. Results are often presented in the form of theorems; proofs are deleted when trivial or when a reference is readily available. It applies to large, complex surveys; and to provide an easy reference... more...

  • Optimum Experimental Designs, with SASby Anthony Atkinson; Alexander Donev; Randall Tobias

    Oxford University Press, UK 2007; US$ 84.99

    This text focuses on optimum experimental design using SAS, a powerful software package that provides a complete set of statistical tools including analysis of variance, regression, categorical data analysis, and multivariate analysis. SAS codes, results, plots, numerous figures and tables are provided, along with a fully supported website. - ;Experiments... more...

  • Statistical Decision Theoryby F. Liese; Klaus-J. Miescke

    Springer New York 2008; US$ 169.00

    This brilliant volume is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. more...

  • Bayesian Modeling Using WinBUGSby Ioannis Ntzoufras

    Wiley 2011; US$ 156.00

    Ioannis Ntzoufras, PhD, is Assistant Professor of Statistics at Athens University of Economics and Business (Greece). Dr. Ntzoufras has published numerous journal articles in his areas of research interest, which include Bayesian statistics, statistical analysis and programming, and generalized linear models. more...

  • Decision Theoryby Giovanni Parmigiani; Lurdes Inoue

    Wiley 2009; US$ 113.00

    Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision... more...

  • Subjective and Objective Bayesian Statisticsby S. James Press

    Wiley 2009; US$ 176.00

    Shorter, more concise chapters provide flexible coverage of the subject. Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging. Includes topics not covered in other books, such as the de Finetti Transform. Author S. James Press is the modern... more...