Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment (Wiley Series in Probability and Statistics)
by Peter H. Westfall, S. Stanley Young
Resampling-Based Multiple Testing presents examples and methods for p-value adjustment using resampling-based approaches. Written by Peter H. Westfall and S. Stanley Young, this specialized statistics title examines multiple-testing methodology within the Wiley Series in Probability and Statistics.
About This Book
Resampling-Based Multiple Testing introduces methods for addressing multiple testing through resampling-based techniques.
The book focuses on examples and methods for p-value adjustment, making statistical inference the central subject.
Written by Peter H. Westfall and S. Stanley Young, it is part of the Wiley Series in Probability and Statistics.
This title is suited to readers seeking a specialized treatment of multiple-testing methodology.
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