The negative binomial-Lindley generalized linear model: Characteristics and application using crash data

Accident Analysis and Prevention

Volumn 45, Issue , 2012, Pages 258-265

  Geedipally, Srinivas Reddy ^a   Lord, Dominique ^b   Dhavala, Soma Sekhar ^c  

^a TEXAS A AND M UNIVERSITY SYSTEM   (United States)

^b Department of Electrical and Computer Engineering   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Crash data; Generalized linear model; Negative binomial Lindley; Poisson gamma

Indexed keywords

CRASH DATA; DATA SETS; GENERALIZED LINEAR MODEL; HEAVY-TAILS; INNOVATIVE MODELS; LONG TAIL; MIXED EFFECTS; NEGATIVE BINOMIAL; NUMBER OF ZEROS; OBSERVED DATA; POISSON-GAMMA; REGRESSION MODEL; RESEARCH STUDIES; TRAFFIC CRASHES; TRANSPORTATION SAFETY;

DATA PROCESSING; MATHEMATICAL MODELS; POISSON DISTRIBUTION; REGRESSION ANALYSIS;

COMPUTER SIMULATION;

ARTICLE; COMPUTER GRAPHICS; COMPUTER SIMULATION; ENVIRONMENTAL PLANNING; HUMAN; PREVALENCE; RISK FACTOR; RURAL POPULATION; SAFETY; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; UNITED STATES;

ACCIDENTS, TRAFFIC; COMPUTER GRAPHICS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ENVIRONMENT DESIGN; HUMANS; INDIANA; LINEAR MODELS; LOGISTIC MODELS; MICHIGAN; MODELS, STATISTICAL; PREVALENCE; RISK FACTORS; RURAL POPULATION; SAFETY;

EID: 84856106141     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2011.07.012     Document Type: Article

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