A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives

Biometrics

Volumn 57, Issue 1, 2001, Pages 219-223

  Ridout, Martin ^a,d   Hinde, John ^b   DeméAtrio, Clarice G B ^c  

^a HORTICULTURE RESEARCH INTERNATIONAL   (United Kingdom)

^b UNIVERSITY OF EXETER   (United Kingdom)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

^d UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Count data; Negative binomial; Regression model; Score test; Zero inflation

Indexed keywords

REGRESSION ANALYSIS;

COUNT DATUM; HIGH INCIDENCE; NEGATIVE BINOMIAL; PARAMETERS ESTIMATES; POISSON REGRESSION MODELS; REGRESSION MODELLING; SCORE TEST; ZERO COUNT; ZERO INFLATION; ZERO-INFLATED;

POISSON DISTRIBUTION;

ARTICLE; BIOMETRY; DATA ANALYSIS; MATHEMATICAL MODEL; SCORING SYSTEM; STATISTICAL ANALYSIS;

EID: 0035099098     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00219.x     Document Type: Article

References (16)

1. Extra-Poisson variation in log-linear models
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3. Some remarks on over-dispersion
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5. Empirical fitting of discrete distributions
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7. Analysis of zero-adjusted count data
8. Tests for detecting overdispersion in the positive Poisson regression model
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10. Maximum-penalized-likelihood estimation for independent and Markov-dependent mixture models
11. Specification and testing of some modified count data models
12. Models for count data with many zeros
13. Estimating nested count data models
14. A score test for zero inflation in a Poisson distribution