Supercomputer-Intensive Multivariable Randomization Tests

Nicholas Schork and Janis Hardwick
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Nicholas Schork: University of Michigan, Department of Statistics
Janis Hardwick: University of Michigan, Department of Statistics

A chapter in Computing Science and Statistics, 1992, pp 509-513 from Springer

Abstract: Abstract The prevalence and availability of efficient computing machinery has had a profound, if not inevitable, effect on modern statistical practices. Not only has the surge in efficient numerical methods and the greater general interest in computational problems provided statisticians and probabalists with tools necessary to compute what would otherwise be “uncomutable”, but this surge has also impacted on statistical theory as well. The best example of this impact on theoretical aspects of statistical practice is, without question, the development of bootstrap methodology [Efron, 1979] — a body of ideas so well received and innovative that they have been outlined in the workhorse of popular scientific periodicals, Scientific American [Diaconis and Efron, 1984].

Keywords: Power Loss; Covariance Matrice; Randomization Test; Generalize Likelihood Ratio Test; Asymptotic Test (search for similar items in EconPapers)
Date: 1992
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DOI: 10.1007/978-1-4612-2856-1_89

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