Resampling-Based Multiple Testing
Examples and Methods for p-Value Adjustment
1st Edition
Published on 1. February 1993
Book
Hardback
368 pages
978-0-471-55761-6 (ISBN)
Description
Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.
More details
Series
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 24 mm
Weight
718 gr
ISBN-13
978-0-471-55761-6 (9780471557616)
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Schweitzer Classification
Persons
Peter H. Westfall and S. Stanley Young are the authors of Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment, published by Wiley.
Content
Resampling-Based Adjustments: Basic Concepts.
Continuous Data Applications: Univariate Analysis.
Continuous Data Applications: Multivariate Analysis.
Binary Data Applications.
Further Topics.
Practical Applications.
Appendices.
References.
List of Algorithms.
List of Examples.
Indexes.
Continuous Data Applications: Univariate Analysis.
Continuous Data Applications: Multivariate Analysis.
Binary Data Applications.
Further Topics.
Practical Applications.
Appendices.
References.
List of Algorithms.
List of Examples.
Indexes.