Nonparametrics: Statistical Methods Based on Ranks by Erich L. LehmannNonparametrics: Statistical Methods Based on Ranks by Erich L. Lehmann

Nonparametrics: Statistical Methods Based on Ranks

byErich L. LehmannContribution byH.J.M. D'Abrera

Paperback | July 27, 2006

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Rank tests are a class of statistical procedures that combine great simplicity with surprising power. This reprint of a classic reference book offers a thorough description of these tests and the estimating procedures derived from them, and gives an account of their properties. Although the field of rank tests has seen 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 software packages.
Title:Nonparametrics: Statistical Methods Based on RanksFormat:PaperbackDimensions:480 pages, 9.25 × 6.1 × 0 inPublished:July 27, 2006Publisher:Springer New YorkLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0387352120

ISBN - 13:9780387352121

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Table of Contents

Rank Tests for Comparing two Treatments.- Comparing two Treatments or Attributes in a Population Model.- Blocked Comparisons for two Treatments.- Paired Comparisons in a Population Model and the One-Sample Problem.- The Comparison of More than two Treatments.- Randomized Complete Blocks.- Tests of Randomness and Independence.