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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This focused statistics volume explores permutation, parametric, and bootstrap tests of hypotheses. As part of the Springer Series in Statistics, it provides a dedicated resource for readers studying statistical inference, hypothesis testing, and the comparative use of established testing approaches.

About This Book

This book examines permutation, parametric, and bootstrap tests of hypotheses.

It presents these statistical approaches within the framework of hypothesis testing, offering a focused resource for readers studying methods of inference.

Published in the Springer Series in Statistics, the volume is suited to readers seeking a dedicated treatment of these testing techniques.

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I will be using this book for: