Erich L. Lehmann

Nonparametrics

Statistical Methods Based on Ranks
Mitarbeit:D'Abrera, H.J.M.

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 11685241, 978-0-387-35212-1
• Repr.
• Seitenzahl: 480
• Erscheinungstermin: 27. Juli 2006
• Englisch
• Abmessung: 235mm x 155mm x 26mm
• Gewicht: 664g
• ISBN-13: 9780387352121
• ISBN-10: 0387352120
• Artikelnr.: 20853231

Autorenporträt

Rank tests form a class of statistical procedures that combine great simplicity 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-, two-, and s-sample problems, and testing for independence and randomness; for these situations they are often the method of choice. 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.

Inhaltsangabe

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.
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.