Theory of Rank Tests

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Theory of Rank Tests by Zbynek Sidak, Pranab K. Sen, Jaroslav Hajek, Elsevier Science
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Author: Zbynek Sidak, Pranab K. Sen, Jaroslav Hajek ISBN: 9780080519104
Publisher: Elsevier Science Publication: April 6, 1999
Imprint: Academic Press Language: English
Author: Zbynek Sidak, Pranab K. Sen, Jaroslav Hajek
ISBN: 9780080519104
Publisher: Elsevier Science
Publication: April 6, 1999
Imprint: Academic Press
Language: English

The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works.

  • Asymptotic Methods
  • Nonparametrics
  • Convergence of Probability Measures
  • Statistical Inference
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The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works.

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