An introduction to nonparametric statistics / John Kolassa.
Material type:
TextSeries: Publisher: Boca Raton : CRC Press, 2020Edition: First editionDescription: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780429202759; 042920275X; 9780429514791; 0429514794; 9780429511363; 0429511361; 9780429518225; 0429518226Subject(s): Nonparametric statistics | MATHEMATICS / Probability & Statistics / General | REFERENCE / GeneralDDC classification: 519.5 LOC classification: QA278.8Online resources: Taylor & Francis | OCLC metadata license agreement "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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