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  • 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...

  • Analysis of Variance and Functional Measurementby David J. Weiss

    Oxford University Press 2005; US$ 82.99

    Statistics courses, particularly those on analysis of variance, have become increasingly important in undergraduate and graduate curricula in psychology. Although professionals and students need to have facility with numbers where data analysis and statistics are concerned, many of them sometimes falter when it comes to translating results into reportable,... 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...

  • 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$ 105.56

    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...

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

    Springer New York 2008; US$ 158.35

    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...

  • Decision Theoryby Giovanni Parmigiani; Lurdes Inoue

    Wiley 2009; US$ 117.00 US$ 101.40

    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$ 182.00 US$ 157.73

    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...

  • Simulationby James R. Thompson

    Wiley 2009; US$ 179.00 US$ 155.13

    A unique, integrated treatment of computer modeling and simulation "The future of science belongs to those willing to make the shift to simulation-based modeling," predicts Rice Professor James Thompson, a leading modeler and computational statistician widely known for his original ideas and engaging style. He discusses methods, available to anyone... more...

  • Planning and Analysis of Observational Studiesby William G. Cochran

    Wiley 2009; US$ 167.00 US$ 144.73

    Treats studies, primarily in human populations, that show casual effects of certain agents, procedures, treatment or programs. Deals with the difficulties that comparative observational studies have because of bias in their design and analysis. Systematically considers the many sources of bias and discusses how care in matching or adjustment of results... more...