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Most popular at the top
- Wiley 2009; US$ 150.00 US$ 130.00
In 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,... more...
- Springer New York 2012; US$ 82.90
Agreement assessments are widely used today. Successful applications in these situations require an understanding of both the underlying theory and practical problems in real-life. This book blends theory and applications while presenting practical examples. more...
- De Gruyter 1999; US$ 53.78
Lehrwerk zu einem zentralen Gebiet der Statistik für das Hauptstudium der Statistik, Mathematik und Informatik. Aus dem Inhalt: Grundmodell und Verteilungsannahme. Suffizienz und Vollständigkeit. Information. Inferenz. Klassische Inferenz. Likelihood-Inferenz. Bayes-Inferenz. Nichtinformative a priori Verteilungen. Entscheidungstheoretische Inferenz. more...
- 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...
- Wiley 2014; US$ 100.95 US$ 87.49
A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides... more...
- Oxford University Press 1989; US$ 159.99
Goodness of fit describes the validity of models involving statistical distributions of data, and smooth tests are a subset of these tests that are easy to apply and can be used in any situation in which there are relatively large sample sizes. Both concepts have become increasingly important with the advent of high-speed computers and the implementation... more...
- Springer New York 2006; US$ 150.74
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...
- 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...
- CRC Press 2007; US$ 109.95
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...
- Wiley 2010; US$ 151.00 US$ 130.87
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...