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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Date
8-2013
Document Type
Article
Department, Program, or Center
School of Mathematical Sciences (COS)
Recommended Citation
J. Bradley and D. Farnsworth, "Testing for a Zero Proportion," Open Journal of Statistics, Vol. 3 No. 4, 2013, pp. 258-260. doi: 10.4236/ojs.2013.34029.
Campus
RIT – Main Campus
