Parameters estimation of a repairable system
In this paper we estimate the value of unknown parameters in a repairable system. The maximum likelihood and Bayes estimates of the underlying parameters are obtained. The presented estimates are compared with the moment estimates of the same parameters available in the literature. One advantage of the new estimates is that they can be calculated for all available observations to the contrary of the moment estimates. The other advantage is that they are better than the moment estimates in the sense of having smaller percentage errors.