@article{ref1,
title="Prediction of occupational accident statistics and work time loss distributions using Bayesian analysis",
journal="Journal of loss prevention in the process industries",
year="2012",
author="Marcoulaki, Eftychia C. and Papazoglou, Ioannis A. and Konstandinidou, Myrto",
volume="25",
number="3",
pages="467-477",
abstract="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>",
language="en",
issn="0950-4230",
doi="10.1016/j.jlp.2011.11.014",
url="http://dx.doi.org/10.1016/j.jlp.2011.11.014"
}