almediah.fr
» » Rank Correlation Methods (Charles Griffin Book Series)

Download Rank Correlation Methods (Charles Griffin Book Series) eBook

by Maurice Kendall,Jean Dickinson Gibbons

Download Rank Correlation Methods (Charles Griffin Book Series) eBook
ISBN:
0195208374
Author:
Maurice Kendall,Jean Dickinson Gibbons
Category:
Mathematics
Language:
English
Publisher:
Oxford University Press; 5 edition (September 13, 1990)
Pages:
272 pages
EPUB book:
1262 kb
FB2 book:
1740 kb
DJVU:
1605 kb
Other formats
doc docx azw lrf
Rating:
4.6
Votes:
439


In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's τ coefficient (after the Greek letter τ, tau), is a statistic used to measure the ordinal association between two measured quantities.

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's τ coefficient (after the Greek letter τ, tau), is a statistic used to measure the ordinal association between two measured quantities. A τ test is a non-parametric hypothesis test for statistical dependence based on the τ coefficient.

by Maurice Kendall (Author), Jean Dickinson Gibbons (Author). ISBN-13: 978-0195208375.

Book Publishing WeChat. 1975) Rank Correlation Methods. has been cited by the following article: TITLE: Trend Analysis in Standardized Precipitation Index and Standardized Anomaly Index in the Context of Climate Change in Southern Togo. AUTHORS: Komlan Koudahe, Adewumi J. Kayode, Awokola O. Samson, Adekunle A. Adebola, Koffi Djaman. KEYWORDS: Trend Analysis, Mann-Kendall Test, Rainfall, Temperature, Climate Change

See if your friends have read any of Jean Dickinson Gibbons's books.

See if your friends have read any of Jean Dickinson Gibbons's books. Jean Dickinson Gibbons’s Followers. None yet. Jean Dickinson Gibbons. Jean Dickinson Gibbons’s books. Nonparametric Statistics: An Introduction.

Kendall rank correlation coefficient. Flag as Inappropriate It is named after Maurice Kendall, who developed it in 1938, though Gustav Fechner had proposed a similar measure in the context of time series i. . Flag as Inappropriate. In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter τ), is a statistic used to measure the association between two measured quantities. A tau test is a non-parametric hypothesis test for statistical dependence based on the tau coefficient Contents.

Rank correlation methods by Kendall, Maurice G and a great selection of related books . Maurice Kendall, JEAN DICKINSON GIBBONS.

Maurice Kendall, JEAN DICKINSON GIBBONS. Published by Hodder Education (1990). ISBN 10: 0852643055 ISBN 13: 9780852643051. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far.

Find nearly any book by Jean Dickinson Gibbons. Get the best deal by comparing prices from over 100,000 booksellers. by Jean Dickinson Gibbons, Ingram Olkin, Milton Sobel.

Rank Correlation Methods. Charles Griffin, UK (1990)zbMATHGoogle Scholar. Gan, . Suel, . Local Methods for Estimating PageRank Values. of CIKM (2004)Google Scholar. Topic-Sensitive PageRank. WWW (2002)Google Scholar. Updating PageRank with iterative aggregation. of the 13th International World Wide Web Conference on Alternate Track Papers and Posters, pp. 392–393 (2004)Google Scholar. Fast webpage classification using URL features.

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter τ), is a statistic used to measure the association between two measured quantities. A tau test is a non-parametric hypothesis test for statistical dependence based on the tau coefficient.

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.