Practical Nonparametric Statistics

David J. Groggel; W. J. Conover

doi:10.2307/1271101

August 1, 2000Technometrics

Practical Nonparametric Statistics

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Key Points

To present a practical, structured framework for applying nonparametric and distribution-free statistical methods across diverse analytical settings.
Synthesizes core principles of probability theory and classical statistical inference.
Details procedures for binomial distribution tests, contingency table analysis, rank-based tests, and Kolmogorov-Smirnov-type goodness-of-fit statistics.
Provides complete operational workflows and decision rules for analyzing categorical, ordinal, and ranked data.
Supplies reference tables and worked mathematical solutions to support hypothesis testing without requiring assumptions of underlying normal distributions.

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Abstract

Probability Theory. Statistical Inference. Some Tests Based on the Binomial Distribution. Contingency Tables. Some Methods Based on Ranks. Statistics of the Kolmogorov-Smirnov Type. References. Appendix Tables. Answers to Odd-Numbered Exercises. Index.

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synapsesocial.com/papers/6a0a8f1936657de66c73712b https://doi.org/10.2307/1271101

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Practical Nonparametric Statistics

Key Points

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Abstract

Discussion

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Practical Nonparametric Statistics

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Abstract

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