%0 Journal Article
%T Prediction of occupational accident statistics and work time loss distributions using Bayesian analysis
%J Journal of loss prevention in the process industries
%D 2012
%A Marcoulaki, Eftychia C.
%A Papazoglou, Ioannis A.
%A Konstandinidou, Myrto
%V 25
%N 3
%P 467-477
%X This paper uses Bayesian analysis tools for the stochastic evaluation of work time losses due to occupational accidents in a workplace. Models are developed for accident frequencies, duration of recovery from an accident, and the worker unavailability. The unavailability statistics are hereby derived considering a two state stochastic model, to provide estimates for the expected work time losses over a base period of workplace operation. The above models are applied on real multiyear accident data collected from the Greek Petrochemical Industry.<p /> <p>Language: en</p>
%G en
%I Elsevier Publishing
%@ 0950-4230
%U http://dx.doi.org/10.1016/j.jlp.2011.11.014