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Resampling-Based Multiple Testing - Wiley Probability and Statistics by Peter H Westfall & S Stanley Young Hardcover
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About this item
Highlights
- 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.
- About the Author: 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.
- 368 Pages
- Mathematics, Probability & Statistics
- Series Name: Wiley Probability and Statistics
Description
Book Synopsis
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.
About the Author
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.
Dimensions (Overall): 9.62 Inches (H) x 6.38 Inches (W) x 1.02 Inches (D)
Weight: 1.49 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 368
Genre: Mathematics
Sub-Genre: Probability & Statistics
Series Title: Wiley Probability and Statistics
Publisher: Wiley-Interscience
Theme: General
Format: Hardcover
Author: Peter H Westfall & S Stanley Young
Language: English
Street Date: January 12, 1993
TCIN: 1008772106
UPC: 9780471557616
Item Number (DPCI): 247-01-8615
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 1.02 inches length x 6.38 inches width x 9.62 inches height
Estimated ship weight: 1.49 pounds
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