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The new edition of this classic reference includes a wealth of information on the mathematics and practical applications of rank correlation methods. It represents the most extensive revision since the book first appeared in 1948 and provides clear explanations of the methods of rank correlation widely used by statisticians, educators, psychologists, and others involved in analyzing qualitative material. Among the many topics covered are the Goodman-Kruskal coefficient, partial rank correlation, trend tests, and regression techniques. Real numerical examples and problems are taken from interesting research in the social sciences. Expanded tables have also been added that include larger sample sizes and a table of distribution of Kendall's partial law. Reflecting the vast amount of research published in recent years, this edition updates the references and offers over 300 new bibliographic entries. The valuable appendix tables have been revised and expanded.
This text investigates the mathematical foundations and practical utility of rank correlation methods in the analysis of qualitative data. Authored by Jean Dickinson Gibbons and the late Sir Maurice Kendall, the book serves as a comprehensive reference for statisticians and researchers across the social sciences. It synthesizes decades of methodological development, providing a rigorous framework for applying non-parametric statistical techniques to diverse research problems.
What You Will Find
Experts recognize this work as a foundational reference for non-parametric statistics. Readers frequently note the academic density of the prose, which is balanced by practical numerical examples drawn from social science research.
Page Count:
272
Publication Date:
1990-09-13
Publisher:
Oxford University Press
ISBN-10:
0195208374
ISBN-13:
9780195208375
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