Nonparametric statistics
an introduction
by Jean Dickinson Gibbons
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"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."--Pub. description.
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Nonparametric statistics: an introduction
1993, Sage Publications
in English
0803939515 9780803939516
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Includes bibliographical references (p. 85-86).
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