Abstract: Choice of prior distributions in the Bayesian inference is discussed when making parameter estimates for the exponential case . Under the criteria of a small mean- square-error and the Buehler - optimization , some characteristics of the prior - parameters are discussed and the suitable regions of prior - parameters given.