Rank Correlations Methods
Author | : Maurice George Kendall |
Publisher | : |
Total Pages | : 202 |
Release | : 1970 |
Genre | : Correlation (Statistics) |
ISBN | : |
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Author | : Maurice George Kendall |
Publisher | : |
Total Pages | : 202 |
Release | : 1970 |
Genre | : Correlation (Statistics) |
ISBN | : |
Author | : Maurice G (Maurice George) Kendall |
Publisher | : Hassell Street Press |
Total Pages | : 218 |
Release | : 2021-09-09 |
Genre | : |
ISBN | : 9781013867194 |
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author | : Maurice G. Kendall |
Publisher | : |
Total Pages | : 202 |
Release | : 1975 |
Genre | : |
ISBN | : |
Author | : Maurice George Kendall |
Publisher | : |
Total Pages | : 199 |
Release | : 1962 |
Genre | : |
ISBN | : |
Author | : Maurice George Kendall |
Publisher | : Oxford University Press |
Total Pages | : 260 |
Release | : 1990 |
Genre | : Technology & Engineering |
ISBN | : 9780195208375 |
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.
Author | : Diana Elizabeth Kendall |
Publisher | : Oxford University Press, USA |
Total Pages | : 210 |
Release | : 1987-03-12 |
Genre | : |
ISBN | : 9780195205725 |
The techniques described in this text have many applications in education, psychology, industrial experimentation, economics and other fields employing the use of ranked materials.
Author | : Maurice George Kendall |
Publisher | : |
Total Pages | : 196 |
Release | : 1955 |
Genre | : |
ISBN | : |
Author | : Maurice George Kendall |
Publisher | : |
Total Pages | : 216 |
Release | : 1962 |
Genre | : Correlation (Statistics) |
ISBN | : |
Author | : Sir Maurice Kendall |
Publisher | : |
Total Pages | : 199 |
Release | : 1962 |
Genre | : |
ISBN | : |
Author | : Mayer Alvo |
Publisher | : Springer |
Total Pages | : 276 |
Release | : 2014-09-02 |
Genre | : Mathematics |
ISBN | : 1493914715 |
This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website.