Stock photo: cover may vary
Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (Wiley Series in Probability and Statistics) Hardback -
by Luigi Salmaso Marco Marozzi Livio Corain Stefano Bonnini
- New
- Hardback
A$132.83
A$5.82
Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Standard delivery: 9 to 14 days
Ships from Cold Books (New York, United States)
Details
- Title Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (Wiley Series in Probability and Statistics)
- Author Luigi Salmaso Marco Marozzi Livio Corain Stefano Bonnini
- Binding Hardback
- Condition New
- Pages 256
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons
- Publication date pp. 256 Index
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # 6142270188
- ISBN 9781119952374 / 1119952379
- Weight 1.05 lbs (0.48 kg)
- Dimensions 9.1 x 6.1 x 0.7 in (23.11 x 15.49 x 1.78 cm)
- Category Mathematics
- Library of Congress subjects Nonparametric statistics, Statistical hypothesis testing
- Library of Congress Catalogue Number 2014020574
- Dewey Decimal Code 519.54
- Quantity available 4
About Cold Books New York, United States
Reader reviews for Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (Wiley Series in Probability and Statistics)
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the rear cover
A novel presentation of rank and permutation tests, with accessible guidance to applications in R
Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size.
Key Features
- Examines the most widely used methodologies of nonparametric testing.
- Includes extensive software codes in R featuring worked examples, and uses real case studies from both experimental and observational studies.
- Presents and discusses solutions to the most important and frequently encountered real problems in different fields.
Features a supporting website (www.wiley.com/go/hypothesis_testing) containing all of the data sets examined in the book along with ready to use R software codes.
Nonparametric Hypothesis Testing combines an up to date overview with useful practical guidance to applications in R, and will be a valuable resource for practitioners and researchers working in a wide range of scientific fields including engineering, biostatistics, psychology and medicine.
