BAYESIAN-APPROACH TO SINGLE VARIABLE SAMPLING PLANS
成果类型:
Note
署名作者:
YEH, L
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
发表日期:
1988
页码:
387391
关键词:
摘要:
In this paper, we develop a model of sampling plans for variables with a polynomial loss function, in which the decision function is either one-sided or two-sided. Based on a Bayesian approach, we suggest a simple finite algorithm for the determination of the optimal single sampling plan. Furthermore, for the case of a symmetric two-sided decision function, we propose an approximate method for determining its optimal single sampling plan.