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Nonparametric statistical inference

Nonparametric Statistical Inference presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis. The fourth edition includes new material on quantiles, the calculation of exact and simulated power, sample size determination, and multiple comparisons.

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  • ""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."
  • "Nonparametric Statistical Inference presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis. The fourth edition includes new material on quantiles, the calculation of exact and simulated power, sample size determination, and multiple comparisons."@en
  • "Order statistics; Tests based on runs; Tests of goodness of fit; Rank-order statistics; Other one-sample and paired-sample techniques: the sign test and signed-rank test; 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."

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  • "Electronic books"@en
  • "Libros electrónicos"
  • "Lehrbuch"
  • "Nichtparametrische statistische Schlußweise"@en
  • "Nichtparametrische statistische Schlußweise"
  • "Matériel didactique"

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  • "Nonparametric statitical inference"
  • "Nonparametric statistical inferece"
  • "Nonparametric statistical inference : Second edition, revised and expanded"
  • "Nonparametric statistical inference"
  • "Nonparametric statistical inference"@en
  • "Nonparametric Statistical Inference"@en
  • "NONPARAMETRIC STATISTICAL INFERENCE"@en
  • "Nonparametric statistical inference. Second edition, revised and expandedystems"
  • "Nonparametric Statiscal Inference"

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