A Bayesian approach to sample size selection in a multiple hypotheses test for the Bernoulli model

被引:0
|
作者
Huerta, G
Mendoza, M
机构
[1] INST TECNOL AUTONOMO MEXICO, DEPT ESTADIST, MEXICO CITY 01000, DF, MEXICO
[2] Univ Nacl Autonoma Mexico, IIMAS, DEPT STAT, MEXICO CITY, DF, MEXICO
关键词
D O I
10.1080/02664769624125
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
The situation where a certain type of seed need to be classified into one of three different categories, according to its germination level, can be formulated as the simultaneous test of three statistical hypotheses. In this paper, the problem of assessing an optimal sample size for the simultaneous test of several hypotheses on a Bernoulli process is studied within the Bayesian framework, and a solution is obtained for a wide class of prior distributions and a logarithmic loss function.
引用
收藏
页码:385 / 394
页数:10
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