Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: A Bayesian perspective

Safety Science

Volumn 46, Issue 5, 2008, Pages 751-770

  Lord, Dominique ^a   Miranda Moreno, Luis F ^b,c  

^a Texas AandM University   (United States)

^b UNIVERSITÉ LAVAL   (Canada)

^c INSTITUTO MEXICANO DEL TRANSPORTE   (Mexico)

Author keywords

Highway safety; Low sample mean; Poisson gamma; Poisson lognormal; Small sample size

Indexed keywords

BAYESIAN NETWORKS; DATA REDUCTION; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD; MEAN FIELD THEORY; POISSON DISTRIBUTION; PROBABILISTIC LOGICS;

HIGHWAY SAFETY; LOW SAMPLE MEANS; POISSON-GAMMA MODELS; POISSON-LOGNORMALS;

CRASHWORTHINESS;

ARTICLE; BAYES THEOREM; HUMAN; OUTCOME ASSESSMENT; POISSON DISTRIBUTION; PRIORITY JOURNAL; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS; TRAFFIC ACCIDENT;

EID: 43949096566     PISSN: 09257535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ssci.2007.03.005     Document Type: Article

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