An introduction to nonparametric statistics (Record no. 4449)

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000 -LEADER
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230302162542.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367194840
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number KOL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kolassa, John E.
245 ## - TITLE STATEMENT
Title An introduction to nonparametric statistics
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boco Raton
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xii, 212 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 79.99
490 ## - SERIES STATEMENT
Series statement Text in statistical science
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Contents<br/>Background<br/><br/>One-Sample Nonparametric Inference<br/><br/>Two-Sample Testing<br/><br/>Methods for Three or More Groups<br/><br/>Group Differences with Blocking<br/><br/>Bivariate Methods<br/><br/>Multivariate Analysis<br/><br/>Density Estimation<br/><br/>Regression Function Estimates<br/><br/>Resampling Techniques<br/><br/>Appendices
520 ## - SUMMARY, ETC.
Summary, etc. An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data.　Rank-based and resampling techniques are heavily represented, but robust techniques are considered as well.　These techniques include one-sample testing and estimation, multi-sample testing and estimation, and regression.<br/><br/>Attention is paid to the intellectual development of the field, with a thorough review of bibliographical references.　Computational tools, in R and SAS, are developed and illustrated via examples. Exercises designed to reinforce examples are included.<br/><br/>Features<br/><br/>Rank-based techniques including sign, Kruskal-Wallis, Friedman, Mann-Whitney and Wilcoxon tests are presented<br/>Tests are inverted to produce estimates and confidence intervals<br/>Multivariate tests are explored<br/>Techniques reflecting the dependence of a response variable on explanatory variables are presented<br/>Density estimation is explored<br/>The bootstrap and jackknife are discussed<br/>This text is intended for a graduate student in applied statistics.　The course is best taken after an introductory course in statistical methodology, elementary probability, and regression.　Mathematical prerequisites include calculus through multivariate differentiation and integration, and, ideally, a course in matrix algebra.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Nonparametric statistics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques 711/22-23 20/02/2023 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 03/02/2023 T V Enterprises 5264.60   519.5 KOL 004639 03/02/2023 1 8007.00 03/02/2023 Book

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