This highly-regarded text serves as a quick reference book which offers clear, concise instructions on how and when to use the most popular nonparametric procedures. This edition features some procedures that have withstood the test of time and are now used by many practitioners, such as the Fisher Exact Test for two-by-two contingency tables, the Mantel-Haenszel Test for combining several contingency tables, the Kaplan-Meier estimates of the survival curve, the Jonckheere-Terpstra Test and the Page Test for ordered alternatives, and a discussion of the bootstrap method.
This highly-regarded text serves as a quick reference book which offers clear, concise instructions on how and when to use the most popular nonparametric procedures.
Probability theory. Statistical inference. Some tests based on the binomial distribution. Contingency tables. Some methods based on ranks. Statistics of the Kolmogorov-Smirnov type.
Practical Nonparametric Statistics
Using this organized structure, the book outlines essential skills for the application of nonparametric statistical methods, including how to: Test data for normality and randomness Use the Wilcoxon signed rank test to compare two related ...
Practical Non Parametric Statistics
Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780471160687 .
Although there were several earlier attempts at doing this, Ferguson's (1973) elegant approach, creating what is now called Ferguson's Dirichlet process prior, or more succinctly, the Dirichlet process, has proved to have staying power ...
This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS® (Version 21) software and updated screen captures to ...
A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics.
The KS test has advantages over exact tests based on the X2 goodness-offit statistic (see Chapter 9), which depend on an adequate sample size and proper interval assignments for the approximations to be valid. The KS test has important ...