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Applied Nonparametric Statistical Methods, 5 ed
◆Taylor & Francis セール開催中！：2025年9月28日(日)ご注文分まで
※上記表示の販売価格は割引適用後の価格です 出版済み 3-5週間でお届けいたします。 Series: Chapman & Hall/CRC Texts in Statistical Science Author: Smeeton, Nigel / Spencer, Neil H. / Sprent, Peter (Guy's King & St. Thomas School of Medicine, London, UK) Publisher: Taylor & Francis ISBN: 9780367344894 Cover: HARDCOVER Date: 2025年03月 こちらの商品は学校・法人様向け（機関契約）のオンラインブック版がございます。 オンラインブックの価格、納期につきましては弊社営業員または当ECサイトよりお問い合わせください。  DESCRIPTION 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 the following: * 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readers to identify up-to-date literature in their field for research, publications and teaching material * Numerous historical references throughout the text, from which to explore the origins of nonparametric methods Applied Nonparametric Statistical Methods, Fifth Edition, is a comprehensive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. TABLE OF CONTENTS 1. Basic concepts of statistical inference 2. Fundamentals of nonparametric methods 3. Exploring averages for single samples 4. Other single-sample inferences 5. Methods for paired samples 6. Methods for two independent samples 7. Basic tests for three or more samples 8. Analysis of structured data 9. Analysis of survival data 10. Correlation and concordance 11. Bivariate linear regression 12. Categorical data 13. Association in categorical data 14. Robust estimation 15. Nonparametric methods in action
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