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Experimental design

Most popular at the top

  • 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 M. Wolter

    Springer 2007; US$ 119.00

    Offers an account of the theory and methods for precision calculations and inference. This book provides instruction on the methods that are important to data-driven decision making in business, government, and academe. It includes a chapter on the bootstrap method of variance estimation and a material on Taylor series methods. more...

  • Nonbayesian Decision Theoryby Martin Peterson

    Springer 2008; US$ 189.00

    This book aims to present an account of rational choice from a non-Bayesian point of view. Rational agents maximize subjective expected utility, but contrary to what is claimed by Bayesians, the author argues that utility and subjective probability should not be defined in terms of preferences over uncertain prospects. To some extent, the authora (TM)s... 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 Friedrich Liese; Klaus-J. Miescke

    Springer 2008; US$ 169.00

    Suitable for advanced graduate students and researchers in mathematical statistics and decision theory, this title presents an account of the concepts and a treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. more...

  • Planning and Analysis of Observational Studiesby William G. Cochran

    Wiley 2009; US$ 167.00

    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...

  • Statistical Methods for Rates and Proportionsby Joseph L. Fleiss; Bruce Levin; Myunghee Cho Paik

    Wiley 2013; US$ 170.00

    "This book is to be recommended as a standard shelf reference . . . and as a ‘must’ to be read by all who wish to better use and understand data involving dichotomous or dichotomizable measurements." — American Journal of Psychiatry In the two decades since the second edition of Statistical Methods for Rates and Proportions was... more...

  • Subjective and Objective Bayesian Statisticsby S. James Press

    Wiley 2009; US$ 170.00

    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 guru... more...

  • Simulationby James R. Thompson

    Wiley 2009; US$ 173.00

    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...

  • Bayesian Networksby Timo Koski; John Noble

    Wiley 2011; US$ 101.95

    Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of... more...