BAYESIAN LOOK-AHEAD ONE-STAGE SAMPLING ALLOCATIONS FOR SELECTING THE LARGEST NORMAL-MEAN

被引：26

作者：

GUPTA, SS

MIESCKE, KJ

机构：

[1] PURDUE UNIV,DEPT STAT,W LAFAYETTE,IN 47907

[2] UNIV ILLINOIS,DEPT MATH STAT & COMP SCI M-C 249,CHICAGO,IL 60680

来源：

STATISTICAL PAPERS | 1994年 / 35卷 / 02期

关键词：

D O I：

10.1007/BF02926410

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

From two independent normal populations with unknown means and a common known variance, samples of unequal sizes are observed at stage 1. The goal is to find that population with the larger mean. Using the Bayes approach, optimum allocations of m additional observations, at stage 2, axe derived under the linear and the 0-1 loss.

引用

页码：169 / 177

页数：9

共 9 条

[1] ON SELECTING THE LARGEST SUCCESS PROBABILITY UNDER UNEQUAL SAMPLE SIZES [J].