Bayesian Optimization of the Estimation of the Age Composition of a Fish Population
提出两阶段分层抽样设计，用贝叶斯方法优化种群年龄比例估计和样本量分配，数值例子显示相比文献方法有改进。
Abstract To estimate the age distribution of a fish population, a two-phase stratified sample design is proposed. Bayesian methods are employed to determine (a) optimal estimators of the desired population proportions; and (b) the optimal choice of second-phase sample sizes subject to a fixed budget. A summary of the results of some numerical examples is presented. These examples demonstrate typical expected gains obtained by using the Bayesian optima as compared to alternative choices of second-phase sample sizes suggested in the substantive literature.