Analysis of U.S. freight-train derailment severity using zero-truncated negative binomial regression and quantile regression

Accident Analysis and Prevention

Volumn 59, Issue , 2013, Pages 87-93

  Liu, Xiang ^a   Saat, M Rapik ^a   Qin, Xiao ^b   Barkan, Christopher P L ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b South Dakota State University   (United States)

Author keywords

Derailment severity; Quantile regression; Rail; Zero truncated negative binomial

Indexed keywords

CONDITIONAL MEANS; DATA DISTRIBUTION; DERAILMENT ANALYSIS; NEGATIVE BINOMIAL; NEGATIVE BINOMIAL REGRESSION; OPERATIONAL CONDITIONS; QUANTILE REGRESSION; TRAIN DERAILMENT;

ACCIDENTS; ESTIMATION; PASSENGER CARS; RAILS; REGRESSION ANALYSIS;

DERAILMENTS;

ACCIDENT; ACCIDENT PREVENTION; ARTICLE; DERAILMENT SEVERITY; HUMAN; POISSON DISTRIBUTION; QUANTILE REGRESSION; RAILWAY; REGRESSION ANALYSIS; RISK FACTOR; STATISTICAL MODEL; STATISTICS; UNITED STATES; ZERO-TRUNCATED NEGATIVE BINOMIAL;

DERAILMENT SEVERITY; QUANTILE REGRESSION; RAIL; ZERO-TRUNCATED NEGATIVE BINOMIAL;

ACCIDENT PREVENTION; ACCIDENTS; HUMANS; MODELS, STATISTICAL; POISSON DISTRIBUTION; RAILROADS; REGRESSION ANALYSIS; RISK FACTORS; UNITED STATES;

EID: 84879108884     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2013.04.039     Document Type: Article

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