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Statistics

Most popular at the top

  • Introduction to Bayesian Statisticsby William M. Bolstad

    Wiley 2013; US$ 160.00

    Praise for the First Edition "I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to introduce Bayesian statistics." — Statistics in Medical Research "[This book] is written in a lucid conversational style, which is so rare in mathematical writings. It does an excellent... more...

  • Introduction to Bayesian Statisticsby Karl-Rudolf Koch

    Springer Berlin Heidelberg 2007; US$ 169.00

    This book presents Bayes? theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters. It does so in a simple manner that is easy to comprehend. The book compares traditional and Bayesian methods with the rules of probability presented in a logical way... more...

  • Mathematical Statistics: Exercises and Solutionsby Jun Shao

    Springer New York 2006; US$ 109.00

    Since the publication of my book Mathematical Statistics (Shao, 2003), I have been asked many times for a solution manual to the exercises in my book. Without doubt, exercises form an important part of a textbook on mathematical statistics, not only in training students for their research ability in mathematical statistics but also in presenting many... more...

  • Methods And Models In Statisticsby Niall Adams; Martin Crowder; David J Hand

    World Scientific Publishing Company 2004; US$ 71.00

    John Nelder is one of today's leading statisticians, having made an impact on many parts of the discipline. This book contains reviews of some of those areas, written by top researchers. It is accessible to non-specialists, and is noteworthy for its breadth of coverage. more...

  • Methods of Statistical Physicsby Tomoyasu Tanaka

    Cambridge University Press 2002; US$ 88.00

    A graduate-level textbook on thermal physics covering classical thermodynamics, statistical mechanics and its applications. more...

  • Modern Engineering Statisticsby Thomas P. Ryan

    Wiley 2007; US$ 183.00

    An introductory perspective on statistical applications in the field of engineering Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully explains the concepts necessary for students to fully grasp... more...

  • Multivariate Bayesian Statisticsby Daniel B. Rowe

    CRC Press 2002; US$ 159.95

    Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information regarding the model parameters and not only allow estimation of the sources and mixing coefficients, but... more...

  • The Nature of Statistical Evidenceby Bill Thompson

    Springer New York 2007; US$ 119.00

    This book has substantial implications for users of Statistical methods. Its purpose is to discuss whether statistical methods make sense. The present volume begins the task of providing interpretations and explanations of several theories of statistical evidence. more...

  • Nonequilibrium Statistical Mechanicsby R.W. Zwanzig

    Oxford University Press 2001; US$ 144.99

    Presents the main principles and methods of nonequilibrium statistical mechanics. This book is written for graduate students and scientists who already have knowledge of basic equilibrium statistical mechanics, and who are interested in the complex field of time-dependent nonequilibrium statistical mechanics. more...

  • Nonlinear Statistical Modelsby A. Ronald Gallant

    Wiley 2009; US$ 286.00

    A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three major categories of statistical models that relate dependent variables to explanatory variables are covered: univariate regression models, multivariate regression models, and simultaneous equations models.... more...