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.
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Titolo: Nonparametrics: Statistical Methods Based on Ranks
Autore:
Erich L. Lehmann
Editore: Springer
Data di Pubblicazione: 2006
Pagine: 00463
Formato: 2
ISBN: 9780387352121