Nonparametrics

Statistical Methods Based on Ranks

Erich L. Lehmann

464 pages, parution le 02/10/2006

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Résumé

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.

Written for: Graduate students, researchers

L'auteur - Erich L. Lehmann

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Sommaire

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

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Erich L. Lehmann
Parution	02/10/2006
Nb. de pages	464
Format	15,5 x 23,5
Couverture	Broché
Poids	670g
Intérieur	Noir et Blanc
EAN13	9780387352121
ISBN13	978-0-387-35212-1