Version 4.0.1. Julian L. Simon. Arlington, VA: Resampling Stats, Inc.; 1995. $225.00. 1 3.25-inch diskette, packaged with Operations Guide, User's Guide, and Resampling Stats: The New Statistics.
Macintosh requirements: Classic or later, 1 MB RAM, System 6.0 to 7.5, math coprocessor recommended.
Resampling statistics are analysis techniques based on the generation of many samples of observations by permutation from a reference set of all possible values. Unlike classic inferential procedures, inference based on resampling does not depend on distributional assumptions, as do the t-test and analysis of variance. Descriptive statistics, such as proportions or means, are computed for each permuted sample. The resulting distribution of sample statistics is used to compute a “distribution-free” estimate of the probability of getting, by chance, an outcome as extreme as an observed or reference value. A vast amount of literature has emerged on the topic over the past 30 years, establishing an extensive set of methods with sound theoretical support.
Published: Ann Intern Med. 1996;124(10):937-938.