Conditional tests for homogeneity of zero-inflated Poisson and Poisson-hurdle distributions

Edward J. Bedrick, Anwar Hossain

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We develop two conditional tests for homogeneity of zero-inflated Poisson (ZIP) and Poisson-hurdle distributions. A Monte Carlo method is proposed for approximating the reference distributions of these tests. The techniques are applied to two examples.

Original languageEnglish (US)
Pages (from-to)99-106
Number of pages8
JournalComputational Statistics and Data Analysis
Volume61
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Contingency table
  • Overdispersion
  • Stirling number
  • Truncated Poisson distribution

ASJC Scopus subject areas

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Conditional tests for homogeneity of zero-inflated Poisson and Poisson-hurdle distributions'. Together they form a unique fingerprint.

Cite this