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Nonparametrics

Statistical Methods Based on Ranks

Authors: Lehmann, Erich L.

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  • ISBN 978-0-387-35212-1
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About this Textbook

Rank tests form a class of statistical procedures that have the advantage of great simplicity combined with surprising power. Since their development in the 1940s and 1950s, they have taken their place as strong competitors of the more classical normal theory methods. Rank tests apply only to relatively simple solutions, such as one-, tw0-, and s-sample problems, and testing for independence and randomness, but for these situations they are often the method of choice.

This reprint of a classic reference book describes these tests and the estimating procedures derived from them, and gives an account of their properties. Even though the field of rank tests has undergone little change, important new methodologies have sprung up that also serve the purpose of freeing statistics from the unrealistic model assumptions that so frequently invalidate its applications. All the tests discussed here are now available in a variety of statistical packages.

E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Berkeley. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands and the University of Chicago. He is the author of Elements of Large-Sample Theory, Theory of Point Estimation, Second Edition (with George Casella), and Testing Statistical Hypotheses, Third Edition (with Joseph P. Romano).

Buy this book

Softcover $79.99
price for USA in USD
  • ISBN 978-0-387-35212-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Nonparametrics
Book Subtitle
Statistical Methods Based on Ranks
Authors
Copyright
2006
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
Softcover ISBN
978-0-387-35212-1
Edition Number
1
Number of Pages
XVI, 464
Additional Information
Originally published by Prentice-Hall
Topics