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An introduction to nonparametric statistics / John Kolassa.

By: Material type: TextSeries: Publisher: Boca Raton : CRC Press, 2020Edition: First editionDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429202759
  • 042920275X
  • 9780429514791
  • 0429514794
  • 9780429511363
  • 0429511361
  • 9780429518225
  • 0429518226
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • QA278.8
Online resources:
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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