Computer-Intensive Methods for Testing Hypotheses

How to use computer-intensive methods to assess the significance of a statistic in an hypothesis test--for both statisticians and nonstatisticians alike. The significance of almost any test can be assessed using one of the methods presented here, for the techniques given are very general (e.g. virtually every nonparametric statistical test is a special case of one of the methods covered). Programs presented are brief, easy to read, require minimal programming, and can be run on most PC's. They also serve as templates adaptable to a wide range of applications. Includes numerous illustrations of how to apply computer-intensive methods. Approximate Randomization Tests.

Monte Carlo Sampling.

Bootstrap Resampling.

Conclusion.

Appendices.

References.

Index.

Eric W. Noreen is the author of Computer-Intensive Methods for Testing Hypotheses: An Introduction, published by Wiley.