Nonparametric Statistical Methods Using R - Info and Reading Options
By John Kloke and Joseph W. McKean
"Nonparametric Statistical Methods Using R" was published by Taylor & Francis Group in 2014 - Boca Raton, FL, it has 287 pages and the language of the book is English.
“Nonparametric Statistical Methods Using R” Metadata:
- Title: ➤ Nonparametric Statistical Methods Using R
- Authors: John KlokeJoseph W. McKean
- Language: English
- Number of Pages: 287
- Publisher: Taylor & Francis Group
- Publish Date: 2014
- Publish Location: Boca Raton, FL
- Library of Congress Classification: QA278.8
“Nonparametric Statistical Methods Using R” Subjects and Themes:
- Subjects: ➤ Nonparametric statistics - Mathematical statistics - R (Computer program language) - Statistique non paramétrique - R (Langage de programmation) - MATHEMATICS - Applied - Probability & Statistics - General - Nichtparametrisches Verfahren - Statistik - R
Edition Identifiers:
- The Open Library ID: OL29232136M - OL21548309W
- Online Computer Library Center (OCLC) ID: 950623590
- Library of Congress Control Number (LCCN): 2014033358
- ISBN-13: 9781439873441 - 9781498787277
- All ISBNs: 9781439873441 - 9781498787277
AI-generated Review of “Nonparametric Statistical Methods Using R”:
"Nonparametric Statistical Methods Using R" Description:
Open Data:
A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The a
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