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...
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 pages360
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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
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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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A Wiley Interscience Publication, John Wiley & Sons, New York, 1993
ISBN 10: 0471557617
ISBN 13: 9780471557616
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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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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
Quantity: 1 available