Nonparametric statistical methods using R / (Record no. 87234)

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fixed length control field nam a22 7a 4500
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control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220322113742.0
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fixed length control field 140827t20152015flua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2014033358
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367739720
040 ## - CATALOGING SOURCE
Transcribing agency HBCSE
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.54/Klo/McK
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kloke, John.
245 10 - TITLE STATEMENT
Title Nonparametric statistical methods using R /
Statement of responsibility, etc John Kloke, University of Wisconsin, Madison, WI, USA, Joseph W. McKean, Western Michigan University, Kalamazoo, MI, USA.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 271 pages :
Other physical details illustrations ;
Dimensions 9x6
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC the R series
500 ## - GENERAL NOTE
General note "A Chapman & Hall book."
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (pages 255-263) and index.
520 ## - SUMMARY, ETC.
Summary, etc

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures

Nonparametric 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 authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm.

The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high breakdown fits for general regression models and rank-based inference for cluster correlated data.

The book can be used as a primary text or supplement in a course on applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through numerous examples, it shows readers how to apply these methods using R.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Nonparametric statistics.
Topical term or geographic name as entry element R (Computer program language)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name McKean, Joseph W.,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
          HBCSE HBCSE Mathematics 2022-03-16 Educational Books and Periodicals 0.00 519.54/Klo/McK 25324 2022-03-22 0.00 2022-03-22 Book

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