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Statistical hypothesis testing

  • 100 Statistical Testsby Gopal K Kanji

    SAGE Publications 2006; US$ 64.00

    This expanded and updated Third Edition of Gopal K. Kanji?s best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test?s purpose, and contains details of the test objective, the limitations... more...

  • Applied Asymptoticsby A. R. Brazzale; A. C. Davison; N. Reid

    Cambridge University Press 2007; US$ 72.00

    First practical treatment of small-sample asymptotics, enabling practitioners to apply new methods with confidence. more...

  • Chi-Squared Goodness of Fit Tests with Applicationsby N. Balakrishnan; Vassilly Voinov; M.S Nikulin

    Elsevier Science 2013; US$ 149.95

    Chi-Squared Goodness of Fit Tests with Applications provides a thorough and complete context for the theoretical basis and implementation of Pearson?s monumental contribution and its wide applicability for chi-squared goodness of fit tests. The book is ideal for researchers and scientists conducting statistical analysis in processing of experimental... more...

  • How to Think About Analysisby Lara Alcock

    Oxford University Press 2014; US$ 23.99

    Analysis (sometimes called Real Analysis or Advanced Calculus) is a core subject in most undergraduate mathematics degrees. It is elegant, clever and rewarding to learn, but it is hard. Even the best students find it challenging, and those who are unprepared often find it incomprehensible at first. This book aims to ensure that no student need be unprepared.... more...

  • Multiple Imputation and its Applicationby James Carpenter; Michael Kenward

    Wiley 2012; US$ 78.00

    A practical guide to analysing partially observed data. Collecting, analysing and drawing inferences from data is central to research in the medical and social sciences. Unfortunately, it is rarely possible to collect all the intended data. The literature on inference from the resulting incomplete  data is now huge, and continues to grow both... more...

  • Observed Confidence Levelsby Alan M. Polansky

    Taylor and Francis 2007; US$ 104.95

    Illustrating a simple, novel method for solving an array of statistical problems, Observed Confidence Levels: Theory and Application describes the basic development of observed confidence levels, a methodology that can be applied to a variety of common multiple testing problems in statistical inference. It focuses on the modern nonparametric framework... more...

  • Optimization, Simulation, and Controlby Altannar Chinchuluun; Panos Pardalos; Rentsen Enkhbat; E. N. Pistikopoulos

    Springer 2012; US$ 129.00

    Optimization, simulation and control play an increasingly important role in science and industry. Because of their numerous applications in various disciplines, research in these areas is accelerating at a rapid pace. This volume brings together the latest developments in these areas of research as well as presents applications of these results to... more...

  • Permutation, Parametric and Bootstrap Tests of Hypothesesby Phillip I. Good

    Springer-Verlag New York Inc 2006; US$ 199.00

    Previous edition sold over 1400 copies worldwide. This new edition includes many more real-world illustrations from biology, business, clinical trials, economics, geology, law, medicine, social science and engineering along with twice the number of exercises. more...

  • Permutation Methodsby Paul W. Mielke; Kenneth J. Berry

    Springer 2007; US$ 169.00

    This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available... more...

  • Permutation Tests for Complex Databy Fortunato Pesarin; Luigi Salmaso

    Wiley 2010; US$ 141.00

    Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies. The Authors give a general overview on permutation... more...