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Applied Nonparametric Statistical Methods (Record no. 8037)

MARC details
000 -LEADER
fixed length control field 03011 a2200277 4500
001 - CONTROL NUMBER
control field 1040267750
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250328151419.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250324022025xx 62 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781040267752
Qualifying information EA
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 84.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code PBT
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code PS
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code PBT
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code PS
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisac
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Neil Spencer
245 10 - TITLE STATEMENT
Title Applied Nonparametric Statistical Methods
250 ## - EDITION STATEMENT
Edition statement 5
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Chapman and Hall/CRC
Date of publication, distribution, etc. 20250331
300 ## - PHYSICAL DESCRIPTION
Extent 476 p
520 ## - SUMMARY, ETC.
Expansion of summary note Nonparametric statistical methods minimize the number of assumptions that need to be made about the distribution of data being analysed, unlike classical parametric methods. As such, they are an essential part of a statistician’s armoury, and this book is an essential resource in their application. Starting from the basics of statistics, it takes the reader through the main nonparametric approaches with an emphasis on carefully explained examples backed up by use of the R programming language. Key features of this fully revised and extended fifth edition include: An introductory chapter that provides a gentle introduction to the basics of statistics, including types of data, hypothesis testing, confidence intervals and ethical issues An R package containing functions that have been written for the examples in the text and the exercises Summary bullet points at the end of each section to enable the reader to locate important principles quickly A case study from medical research to demonstrate nonparametric approaches to the data analysis Examples fully integrated into the text, drawn from published research on contemporary issues, with more detail given in their explanation Extensive exercises along with complete solutions that allow the reader to test their understanding of the material Articles used in the examples and exercises carefully chosen to enable readers to identify up-to-date literature in their field for research, publications and teaching material Numerous historical references throughout the text, from which to explore the origins of nonparametric methods Applied Nonparametric Statistical Methods, Fifth Edition , is a comprehensive course text in nonparametric techniques suitable for undergraduate students of mathematics and statistics. It assumes only basic previous experience of statistics, and with algebra kept to a minimum, it is also ideal for quantitative methods modules delivered to undergraduate or postgraduate students in science, business and health service training. It is an invaluable resource for researchers, medical practitioners, business managers, research and development staff, and others needing to interpret quantitative information. Suitable for self-directed learning in continuing professional development, it also acts as a handy accessible reference manual.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nigel C. Smeeton
Relationship A01
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Peter Sprent
Relationship A01

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