Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics)
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Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics)

by Phillip I. Good

Mathematics statistics
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Explores permutation, parametric, and bootstrap tests for hypothesis testing, providing statisticians and researchers with practical methods for data analysis within the Springer Series in Statistics.

About This Book

This book presents advanced statistical techniques for hypothesis testing.

It covers permutation tests, parametric methods, and bootstrap procedures in detail.

Readers will find practical guidance on applying these methods to real data analysis.

The text is part of the Springer Series in Statistics and is intended for statisticians and researchers.

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