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Nonparametric statistical inference [Book] / Jean Dickinson Gibbons, Subhabrata Chakraborti.

By: Contributor(s): Material type: TextTextSeries: Statistics, textbooks and monographsPublication details: Boca Raton : Chapman & Hall/Taylor & Francis, c2011.Edition: 5th edDescription: xx, 630 p. : ill. ; 25 cmISBN:
  • 9781420077612
Subject(s): DDC classification:
  • 519.54 22
Other classification:
  • 519.54
Contents:
Introduction and fundamentals -- Order statistics, quantiles, and coverages -- Tests of randomness -- Tests of goodness of fit -- One-sample and paired-sample procedures -- The general two-sample problem -- Linear rank statistics and the general two-sample problem -- Linear rank tests for the location problem -- Linear rank tests for the scale problem -- Tests of the equality of k independent samples -- Measures of association for bivariate samples -- Measures of association in multiple classifications -- Asymptotic relative efficiency -- Analysis of count data -- Summary.
Summary: "Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. Included are updated and revised contents based on recent journal articles in the literature; a new section in the chapter on goodness-of-fit tests; a new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered; additional problems and examples; and improved computer figures. This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems."--Publisher's description.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad 519.54 GIB-N (Browse shelf(Opens below)) Available 43731
Total holds: 0

Includes bibliographical references (p. 605-620) and index.

Introduction and fundamentals -- Order statistics, quantiles, and coverages -- Tests of randomness -- Tests of goodness of fit -- One-sample and paired-sample procedures -- The general two-sample problem -- Linear rank statistics and the general two-sample problem -- Linear rank tests for the location problem -- Linear rank tests for the scale problem -- Tests of the equality of k independent samples -- Measures of association for bivariate samples -- Measures of association in multiple classifications -- Asymptotic relative efficiency -- Analysis of count data -- Summary.

"Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. Included are updated and revised contents based on recent journal articles in the literature; a new section in the chapter on goodness-of-fit tests; a new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered; additional problems and examples; and improved computer figures. This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems."--Publisher's description.

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