Making bootstrap statistical inferences: a tutorial.: An article from: Research Quarterly for Exercise and Sport

This digital document is an article from Research Quarterly for Exercise and Sport, published by American Alliance for Health, Physical Education, Recreation and Dance (AAHPERD) on March 1, 1997. The length of the article is 6565 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the supplier: A step-by-step bootstrap statistical inference method is ideal for studying physical education and exercise science testing data. The statistical technique makes use of modern high-speed digital computers for computational procedures and is not dependent on mathematically analyzable statistical measures or analytic formulas. Unlike traditional statistics, bootstrapping does not promote unrealistic assumptions about a population.

Citation Details
Title: Making bootstrap statistical inferences: a tutorial.
Author: Weimo Zhu
Publication:Research Quarterly for Exercise and Sport (Refereed)
Date: March 1, 1997
Publisher: American Alliance for Health, Physical Education, Recreation and Dance (AAHPERD)
Volume: v68 Issue: n1 Page: p44(12)

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