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has been cited by the following article:

• TITLE: Testing for a Zero Proportion

  AUTHORS: Jonathan R. Bradley, David L. Farnsworth

  KEYWORDS: Misclassification; False Positive; Misdiagnosis; Proportion; Hypothesis Test; Bayesian Analysis

  JOURNAL NAME: Open Journal of Statistics, Vol.3 No.4, August 16, 2013

  ABSTRACT: Tests for a proportion that may be zero are described. The setting is an environment in which there can be misclassifications or misdiagnoses, giving the possibility of nonzero counts from false positives even though no real examples may exist. Both frequentist and Bayesian tests and analyses are presented, and examples are given.