Affiliation:
1. University of Connecticut
Abstract
With the availability of powerful, inexpensive computer hardware and software, computer-intensive statistical methods are becoming more commonly applied in the social sciences. These methods frequently offer a number of advantages over traditional parametric procedures. This article briefly reviews four computer-intensive methods (permutation/randomization tests, bootstrapping, the jack knife, and cross-validation), discusses some of the strengths and weaknesses of these approaches, provides example applications, and discusses five commercially available software packages that may be used to implement these methods.
Subject
Law,Library and Information Sciences,Computer Science Applications,General Social Sciences
Cited by
11 articles.
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