A comparison of multivariate statistical methods for estimating expected consequences for low-probability and high-consequence incidents

Human Factors and Ergonomics In Manufacturing

Volumn 20, Issue 3, 2010, Pages 233-250

  Desai, S ^a   Lim, G J ^b   Karson, M ^b  

^a M3 Technology   (United States)

^b University of Houston   (United States)

Author keywords

Box Cox transformation; Consequence estimation; Hazardous materials; Statistical analysis; Partial least squares; Spline regression

Indexed keywords

BOX COX TRANSFORMATION; CATASTROPHIC INCIDENTS; CONSEQUENCE ESTIMATION; GENERAL GUIDELINES; INCIDENT DATA; INCIDENT REPORTING SYSTEMS; LINEAR MODEL; LOW PROBABILITY; MULTIVARIATE STATISTICAL METHOD; PARTIAL LEAST SQUARES; STATISTICAL ANALYSIS; STATISTICAL MODELS;

ESTIMATION; HAZARDOUS MATERIALS; POPULATION STATISTICS; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS; SPLINES;

MULTIVARIANT ANALYSIS;

EID: 77956754845     PISSN: 10908471     EISSN: 15206564     Source Type: Journal    
DOI: 10.1002/hfm.20179     Document Type: Article

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