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Statistical hypothesis testing

  • 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...

  • 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...

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

    Cambridge University Press 2007; US$ 76.00

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

  • Single-case and Small-n Experimental Designsby Pat Dugard; Portia File; Jonathan Todman

    Taylor and Francis 2012; US$ 49.95

    This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small- n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book?s... more...

  • Randomization Tests, Fourth Editionby Eugene Edgington; Patrick Onghena

    CRC Press 2007; US$ 99.95

    The number of innovative applications of randomization tests in various fields and recent developments in experimental design, significance testing, computing facilities, and randomization test algorithms have necessitated a new edition of Randomization Tests . Updated, reorganized, and revised, the text emphasizes the irrelevance and implausibility... more...

  • Measuring Statistical Evidence Using Relative Beliefby Michael Evans

    CRC Press 2015; US$ 89.95

    A Sound Basis for the Theory of Statistical Inference Measuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidence allows you to answer the basic question of... more...

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

    Springer New York 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...

  • What If There Were No Significance Tests?by Lisa L. Harlow; Stanley A. Mulaik; James H. Steiger

    Taylor and Francis 2013; US$ 125.00

    This book is the result of a spirited debate stimulated by a recent meeting of the Society of Multivariate Experimental Psychology. Although the viewpoints span a range of perspectives, the overriding theme that emerges states that significance testing may still be useful if supplemented with some or all of the following -- Bayesian logic, caution,... more...

  • 100 Statistical Testsby Gopal K Kanji

    SAGE Publications 2006; US$ 54.00

    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...