© 1975 by Biometrika Trust
Sequential sampling for the comparison of domain means
Department of Statistics, University of Wisconsin Madison
Division of Research and Statistics, Federal Reserve Board Washington
If it is required to compare the means of several domains of study in a finite population and if the domain to which each unit belongs cannot be ascertained before sampling, one may sample sequentially until specified precision requirements are met. Here, we determine the probability, P(n), that the precision requirements are satisfied by the time n observations have been selected randomly from the finite population. The dependence of P(n) on typically unknown design parameters is eliminated by assigning prior distributiona.
Key Words: Bayesian design Choice of sample size Comparison of subpopulation means Finite population Sequential random sampling