Rail accident analysis using large-scale investigations of train derailments on switches and crossings: Comparing the performances of a novel stochastic mathematical prediction and various assumptions-Reference-Cited by-同舟云学术

Rail accident analysis using large-scale investigations of train derailments on switches and crossings: Comparing the performances of a novel stochastic mathematical prediction and various assumptions

Published:2019-09 Issue: Volume:103 Page:203-216
ISSN:1350-6307
Container-title:Engineering Failure Analysis
language:en
Short-container-title:Engineering Failure Analysis

Author:

Dindar Serdar^ORCID,Kaewunruen Sakdirat^ORCID,An Min^ORCID

Funder

British Department for Transport

BRIDGE

Turkish Ministry of Education

European Commission

Publisher

Elsevier BV

Subject

General Engineering,General Materials Science

Reference26 articles.

1. Computational methods using a Bayesian hierarchical generalized linear model;Albert;J. Am. Stat. Assoc.,1988

2. A MCMC algorithm to fit a general exchangeable model;Albert;Commun. Stat. Simul. Comput.,1996

3. Criticism of a hierarchical model using Bayes factors;Albert;Stat. Med.,1999

4. Railroad accident rates for use in transportation risk analysis;Anderson;Transp. Res. Rec.,2004

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