Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses (Springer Series in Statistics) - Tapa dura

Sinopsis

This book presents a readable introduction to the use of permutation methods for testing statistical hypotheses. The chief value in using such methods is that they may be applied in a wide variety of settings, to continuous, discrete, and categorical data, and to values from almost all probability distributions. In addition, permutation tests are generally robust in circumstances where there are problems with missing data. The emphasis of the book is on the practical use of such tests, and throughout examples are given to illustrate the techniques discussed. These examples are drawn from a wide range of settings including archaeology, biology, climatology, education, and the social sciences. An extensive bibliography is also included which provides references to over 500 articles related to the subject of permutation tests. As a result, many researchers will find this an invaluable reference work, as well as a handy desktop companion.

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