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- SAGE Publications 2006; US$ 57.00
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...
- 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...
- Wiley 2012; US$ 74.50
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...
- Taylor & Francis 2007; US$ 94.95
Describes 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...
- Springer 2012; US$ 99.99
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...
- Springer-Verlag New York Inc 2006; US$ 109.99
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...
- Springer 2007; US$ 94.99
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...
- Wiley 2010; US$ 136.00
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...
- Taylor and Francis 2001; US$ 57.50
This 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 researchers. Inferential statistics used in the analysis of group data are frequently invalid... more...