Description: This paper presents an additional view of estimating parameters of the force of mortality using Bayesian methods. Some examples are provided. From Actuarial Research Clearing House 1993 VOL. 1.

Description: The problem of estimation of a tabular survival model from complete samples is considered from a Bayesian approach. If a life test involves a large cohort group, then data is typically given as a grouped data set. The survival function St is usually estimated by the moment estimator. We approximate the joint prior distribution of the unknown unconditional failure probabilities by a Dirichlet distribution, and then use a linear relationship between St and the conditional survival probabilities to obtain a Bayes estimator of St.

Description: This is an abstract of the paper entitled 'Estimation of Prior Density by Numerical Solution of Integral Equations' by R. Dalapatadu, H. Bowman and A. K. Singh. From ACTUARIAL RESEARCH CLEARING HOUSE, 1994 VOL. 1.