Computer-Intensive Methods for Testing Hypotheses: An Introduction

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Wiley, May 2, 1989 - Mathematics - 240 pages
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.

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Contents

Approximate Randomization Tests
9
Monte Carlo Sampling
43
Bootstrap Resampling
63
Copyright

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About the author (1989)

Eric W. Noreen is a globe-trotting academic who has held appointments at institutions in the United States, Europe, and Asia. He is currently Professor of Accounting at the University of Washington and Visiting Price Waterhouse Professor of Management Information & Control at INSEAD, an international graduate school of business located in France. He received his B.A. degree from the University of Washington and MBA and Ph.D. degrees from Stanford University. A Certified Management Accountant, he was awarded a Certificate of Distinguished Performance by the Institute of Certified Management Accountants.

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