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One-tailed Type I error rates for balanced two-category UniODA with a random ordered attribute

Author

Listed:
  • Lowell Carmony
  • Paul Yarnold
  • Frank Naeymi-Rad

Abstract

Directional (one-tailed) two-category univariable optimal discriminant analysis has proved highly useful for applications involving ordered attributes. An important criterion in the use of this analysis for a given application is the generalized Type I error rate associated with a given level of classification accuracy. The distribution of optima arising from this analysis performed for random data had been discovered earlier, but not proven. This article presents a formal mathematical proof of this theoretical distribution for balanced applications. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • Lowell Carmony & Paul Yarnold & Frank Naeymi-Rad, 1997. "One-tailed Type I error rates for balanced two-category UniODA with a random ordered attribute," Annals of Operations Research, Springer, vol. 74(0), pages 223-238, November.
    • Handle: RePEc:spr:annopr:v:74:y:1997:i:0:p:223-238:10.1023/a:1018922421450
    DOI: 10.1023/A:1018922421450
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