An Application of Bayesian Analysis in Determining Appropriate Sample Sizes for Use in U.S. Army Operational Tests.

摘要

The research is devoted to modifying the Bayesian techniques associated with determining the minimum sample size required to construct interval estimates of the true mean of an experimental or sampling process which is modeled by a normal distribution with unknown parameters. The procedure considers only the case where the prior information can be represented by a normal distribution with known mean and known variance.