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Testing Statistical Hypotheses of Equivalenceby Stefan Wellek
CRC Press 2002; US$ 99.95The statistical concept of equivalence has gained considerable importance since the 1980s, with applications in medical & biopharmaceutical research. This book gives an account of equivalence assessment through statistical testing procedures. more...
Smooth Tests of Goodness of Fitby J. C. W. Rayner; D. J. Best
Oxford University Press 1990; US$ 135.00This study describes the validity of models involving statistical distribution of data. The smooth tests are a subset of these tests which are easy to apply and can be used in any situation in which there are relatively large sample sizes. more...
Applied Asymptoticsby A. R. Brazzale; A. C. Davison; N. Reid
Cambridge University Press 2007; US$ 66.00First practical treatment of small-sample asymptotics, enabling practitioners to apply new methods with confidence. more...
Permutation, Parametric and Bootstrap Tests of Hypothesesby Phillip I. Good
Springer-Verlag New York Inc 2005; US$ 115.00Previous 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...
Observed Confidence Levelsby Alan M. Polansky
Taylor & Francis 2007; US$ 79.95Describes the basic development of observed confidence levels for a variety of common multiple testing problems in statistical inference. This book compares the use of observed confidence levels with other statistical methodologies such as multiple comparison and posterior probabilities. more...
100 Statistical Testsby GK Kanji
Sage Publications Ltd. 2006; US$ 51.00Expanded and updated, the Third Edition of Gopal 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. The Third Edition now includes: - a new introduction to statistical testing with information to guide even the non-statistician through the book quickly and easily - real-world explanations of how and when to use each test with examples drawn from wide range of disciplines - a useful Classification of Tests table - all the relevant statistical tables for checking critical values more...
Permutation Methodsby Paul W. Mielke; Kenneth J. Berry
Springer 2007; US$ 99.00This 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 to practitioners. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses. more...
Statistical Power Analysisby Kevin R. Murphy; Brett Myors; Kevin Murphy
Lawrence Erlbaum Associates 2003; US$ 27.50This book presents a simple, comprehensive framework for power analysis which provides a clear explanation of standard techniques for beginning users as well as offering an innovative critique of statistical significance testing for more experienced read more...
Single-case and Small-n Experimental Designsby John B. Todman; Pat Dugard
Taylor & Francis 2001; US$ 57.50This book is a practical guide to help researchers draw valid causal inferences from small-scale clinical intervention studies. It should be of interest to teachers of, and students in, courses with an experimental clinical component, as well as clinical more...
Smooth Tests of Goodness of Fitby J. C. W. Rayner; O. Thas; D. J. Best
John Wiley & Sons, Inc. 2009; US$ 130.00In this fully revised and expanded edition of Smooth Tests of Goodness of Fit , the latest powerful techniques for assessing statistical and probabilistic models using this proven class of procedures are presented in a practical and easily accessible manner. Emphasis is placed on modern developments such as data-driven tests, diagnostic properties, and model selection techniques. Applicable to most statistical distributions, the methodology described in this book is optimal for deriving tests of fit for new distributions and complex probabilistic models, and is a standard against which new procedures should be compared. New features of the second edition include: Expansion of the methodology to cover virtually any statistical distribution,... more...









