Nonparametric statistics : an introduction
著者
書誌事項
Nonparametric statistics : an introduction
（Sage university papers series, . Quantitative applications in the social sciences ; no. 07-090）
Sage Publications, c1993
- : pbk
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注記
Bibliography: p. 85-86
内容説明・目次
内容説明
"Nonparametric Statistics is a short and sweet introduction to the five most familiar nonparametric location tests and associated confidence intervals and multiple comparisons. . . . This book is extremely limited in coverage, but none the worse for that. You won't find anything on the Fisher Exact Test, or measures of association for the cases covered. What you will find is good, accurate, comprehensible accounts of location tests for two or more treatments. . . . The book is well-written throughout, with fewer than expected mistakes. . . . All in all, a good basic introduction to nonparametric tests, with few frills, as you would expect. The computer package comparisons sound very useful warning bells and are a welcome frill."
--British Journal of Mathematical and Statistical Psychology
Using actual research investigations that have appeared in recent social science journals, Jean Dickinson Gibbons shows you the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods (that are applicable for most small and large sample sizes). The methods are organized according to the type of sample structure that produced the data, and the inference types covered are limited to location tests, such as the sign test, the Mann-Whitney-Wilcoxon test, the Kruskal-Wallis test, and Friedman's test. Formal introductions to each test are followed by a data example, calculated first by hand and then by computer.
目次
Introduction
Location Tests for Single and Paired Samples (Sign Test and Wilcoxon Signed Rank Test)
Confidence Interval Estimates of the Median and Median Difference for Single and Paired Samples
Location Tests and Confidence Intervals for Two Independent Samples (Mann-Whitney-Wilcoxon Test)
Location Tests and Multiple Comparisons for k>3 Mutually Independent Samples (Kruskal-Wallis Test)
Location Tests and Multiple Comparisons for k>3 Related Samples (Friedman's Test)
Summary
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