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Nonparametrics H.J.M. D'Abrera

Nonparametrics By H.J.M. D'Abrera

Nonparametrics by H.J.M. D'Abrera


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Summary

Rank tests are a class of statistical procedures that combine great simplicity with surprising power. 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.

Nonparametrics Summary

Nonparametrics: Statistical Methods Based on Ranks by H.J.M. D'Abrera

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.

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.

Additional information

NLS9780387352121
9780387352121
0387352120
Nonparametrics: Statistical Methods Based on Ranks by H.J.M. D'Abrera
New
Paperback
Springer-Verlag New York Inc.
2006-07-27
463
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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