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. (c) 2011 Elsevier Ltd. All rights reserved.