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

Edward J. Bedrick; Anwar Hossain

doi:10.1016/j.csda.2012.11.009

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

Edward J. Bedrick
, Anwar Hossain

Research output: Contribution to journal › Article › peer-review

4 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 language	English (US)
Pages (from-to)	99-106
Number of pages	8
Journal	Computational Statistics and Data Analysis
Volume	61
DOIs	https://doi.org/10.1016/j.csda.2012.11.009
State	Published - 2013
Externally published	Yes

Keywords

Contingency table
Overdispersion
Stirling number
Truncated Poisson distribution

ASJC Scopus subject areas

Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Applied Mathematics

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10.1016/j.csda.2012.11.009

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title = "Conditional tests for homogeneity of zero-inflated Poisson and Poisson-hurdle distributions",

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.",

keywords = "Contingency table, Overdispersion, Stirling number, Truncated Poisson distribution",

author = "Bedrick, \{Edward J.\} and Anwar Hossain",

year = "2013",

doi = "10.1016/j.csda.2012.11.009",

language = "English (US)",

volume = "61",

pages = "99--106",

journal = "Computational Statistics and Data Analysis",

issn = "0167-9473",

publisher = "Elsevier B.V.",

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T1 - Conditional tests for homogeneity of zero-inflated Poisson and Poisson-hurdle distributions

AU - Bedrick, Edward J.

AU - Hossain, Anwar

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Contingency table

KW - Overdispersion

KW - Stirling number

KW - Truncated Poisson distribution

UR - https://www.scopus.com/pages/publications/84885020518

UR - https://www.scopus.com/pages/publications/84885020518#tab=citedBy

U2 - 10.1016/j.csda.2012.11.009

DO - 10.1016/j.csda.2012.11.009

M3 - Article

AN - SCOPUS:84885020518

SN - 0167-9473

VL - 61

SP - 99

EP - 106

JO - Computational Statistics and Data Analysis

JF - Computational Statistics and Data Analysis

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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