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A Bayesian Approach to the Classification Problem

  • Ganapati P. PatilEmail author
  • Sharad D. Gore
  • Charles Taillie*
Chapter
  • 877 Downloads
Part of the Environmental and Ecological Statistics book series (ENES, volume 4)

Abstract

When measurements are present/absent and when the prevalence p of the individual samples possessing the trait is unknown, the optimal composite sample size can be determined for every retesting procedure. Chapter 2 contains the discussion and derivations of the results necessary for this purpose. It is clear form these derivations that the optimal composite sample size depends on the prevalence p. Since the prevalence is usually not known prior to sampling, it may not be possible to determine the optimal composite sample size. A Bayesian approach is suggested in such situations.

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Ganapati P. Patil
    • 1
    Email author
  • Sharad D. Gore
    • 2
  • Charles Taillie*
    • 3
  1. 1.Center for Statistical Ecology and Environmental StatisticsPennsylvania State UniversityUniversity ParkUSA
  2. 2.Department of StatisticsUniversity of PunePuneIndia
  3. 3.Center for Statistical Ecology and Environmental StatisticsPenn State UniversityUniversity ParkUSA

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