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Testing for a Zero Proportion
Department of Statistics, The Ohio State University, Columbus, USA
School of Mathematical Sciences, Rochester Institute of Technology, Rochester, USA
- 1 Department of Statistics, The Ohio State University, Columbus, USA
- 2 School of Mathematical Sciences, Rochester Institute of Technology, Rochester, USA
Open Journal of Statistics·Volume 03 (2013)·Pages 258–260·Published 16 August 2013·DOI10.4236/ojs.2013.34029
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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.
KeywordsMisclassificationFalse PositiveMisdiagnosisProportionHypothesis TestBayesian Analysis
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