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.