The study looked at how to estimate parameters in the Weibull distribution using Bayesian methods. They used gamma priors and squared error loss. When only one parameter is unknown, they found an explicit Bayes estimate. When both are unknown, they used a Lindley approximation to get approximate Bayes estimates. They compared these to maximum likelihood estimates using simulations.