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An introduction to nonparametric statistics / John Kolassa.

By: Kolassa, John Edward, 1963- [author.].
Material type: materialTypeLabelBookSeries: Publisher: Boca Raton : CRC Press, 2020Edition: First edition.Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780429202759; 042920275X; 9780429514791; 0429514794; 9780429511363; 0429511361; 9780429518225; 0429518226.Subject(s): Nonparametric statistics | MATHEMATICS / Probability & Statistics / General | REFERENCE / GeneralDDC classification: 519.5 Online resources: Taylor & Francis | OCLC metadata license agreement
Contents:
BackgroundOne-Sample Nonparametric InferenceTwo-Sample TestingMethods for Three or More GroupsGroup Differences with BlockingBivariate MethodsMultivariate AnalysisDensity EstimationRegression Function EstimatesResampling TechniquesAppendices
Summary: "This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students"-- Provided by publisher.
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"A Chapman & Hall book."

"This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students"-- Provided by publisher.

BackgroundOne-Sample Nonparametric InferenceTwo-Sample TestingMethods for Three or More GroupsGroup Differences with BlockingBivariate MethodsMultivariate AnalysisDensity EstimationRegression Function EstimatesResampling TechniquesAppendices

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