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Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment: 279 (Wiley Series in Probability and Statistics) - Hardcover
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.
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Synopsis
This volume discusses the need for accurate interpretation of statistical data, and provides theory, examples and software to address the dilemmas of multiple testing. The author demonstrates how easy it is to carry out resampling methods using the currently available software from the SAS(R) Institute - PROC MULTTEST, as well as many other types of mathematical and statistical software. This can apply to a wide range of applications and can be easily implemented. The resampling approach defines and displays analyses in terms of adjusted P-values providing a unified method for reporting the results of multiple testing and eliminating the need for inconvenient table look-ups.
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.
"About this title" may belong to another edition of this title.
- PublisherWiley-Interscience
- Publication date1993
- ISBN 10 0471557617
- ISBN 13 9780471557616
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages368
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Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment
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Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment
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ISBN 10: 0471557617
ISBN 13: 9780471557616
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RESAMPLING-BASED MULTIPLE TESTING : EXAMPLES AND METHODS FOR P-VALUE ADJUSTMENT (WILEY SERIES IN PROBABILITY AND MATHEMATICAL STATISTICS)
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ISBN 10: 0471557617
ISBN 13: 9780471557616
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Resampling-Based Multiple Testing (Hardcover)
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John Wiley & Sons Inc, New York, 1993
ISBN 10: 0471557617
ISBN 13: 9780471557616
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780471557616
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Resampling-Based Multiple Testing : Examples and Methods for P-Value Adjustment
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Resampling-Based Multiple Testing (Hardcover)
Published by
John Wiley & Sons Inc, New York, 1993
ISBN 10: 0471557617
ISBN 13: 9780471557616
New
Hardcover
First Edition
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780471557616
Quantity: 1 available