An introduction to nonparametric statistics / John Kolassa.

By:

Kolassa, John Edward, 1963- [author.]

Material type: Text

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.

Item type:

Ebooks

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Ebooks	IIM Kashipur	519.5 (Browse shelf(Opens below))	Available		E4520

"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.

OCLC-licensed vendor bibliographic record.

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