Aimed at both statisticians and non-statisticians, this book describes how to use computer-intensive methods to assess the significance of a statistic in a hypothesis test. This description may be from another edition of this product.
I need to find a way to do this without using Pascal, Fortran or Basic. Surely SPSS, SAS or Excel support approximate randomization, but this book was written too long ago to mention them. It's a great book for the basic theory, but don't count on it to help you actually do the work. Dr. Noreen: please write an update!
Excellent introduction to computer intensive methods
Published by Thriftbooks.com User , 26 years ago
This is a great foundation book. Separate chapters on approximate randomization, Monte Carlo sampling and bootstrap resampling. Good discussion of strengths and weaknesses of each. Very readable, well paced, good appendices with additional technical detail.
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