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Supercomputer-Intensive Multivariable Randomization Tests

In: Computing Science and Statistics

Author

Listed:
  • Nicholas Schork

    (University of Michigan, Department of Statistics
    University of Michigan, Department of Medicine)

  • Janis Hardwick

    (University of Michigan, Department of Statistics)

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].

Suggested Citation

  • Nicholas Schork & Janis Hardwick, 1992. "Supercomputer-Intensive Multivariable Randomization Tests," Springer Books, in: Connie Page & Raoul LePage (ed.), Computing Science and Statistics, pages 509-513, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-2856-1_89
    DOI: 10.1007/978-1-4612-2856-1_89
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