Applied Nonparametric Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)

Sprent, Peter; Smeeton, Nigel C.

ISBN 10: 158488701X / ISBN 13: 9781584887010

Published by Chapman and Hall/CRC, 2007

About this Item

Complete and unmarked. All pages present and readable, binding tight. No highlighting, underlining, or writing anywhere in the text. Cover and spine show minimal to no shelf wear. May have a remainder mark, a price sticker or its residue, or a previous owner's name on the inside cover. Access codes, CDs, DVDs, and other bundled supplements may not be included and should be assumed used or missing unless the listing explicitly states otherwise.

Seller Inventory # V7240B00095U

Bibliographic Details

• Title: Applied Nonparametric Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
• Publisher: Chapman and Hall/CRC
• Publication Date: 2007
• Language: English
• ISBN 10: 158488701X
• ISBN 13: 9781584887010
• Binding: hardcover
• Edition: 4th Edition
• Condition: As New
• Weight: 32 ounces

About this title

Synopsis

While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets.

Reorganized and with additional material, this edition begins with a brief summary of some relevant general statistical concepts and an introduction to basic ideas of nonparametric or distribution-free methods. Designed experiments, including those with factorial treatment structures, are now the focus of an entire chapter. The text also expands coverage on the analysis of survival data and the bootstrap method. The new final chapter focuses on important modern developments, such as large sample methods and computer-intensive applications.

Keeping mathematics to a minimum, this text introduces nonparametric methods to undergraduate students who are taking either mainstream statistics courses or statistics courses within other disciplines. By giving the proper attention to data collection and the interpretation of analyses, it provides a full introduction to nonparametric methods.

About the Author

Peter Sprent, Nigel C. Smeeton