Pezeshk Hamid
Department of Mathematics, Statistics and Computer Science, University of Tehran, Tehran, Iran.
Stat Methods Med Res. 2003 Dec;12(6):489-504. doi: 10.1191/0962280203sm345oa.
The aim of this paper is to review some key techniques of Bayesian methods of sample size determination. The approach is to cover a small number of simple problems, such as estimating the mean of a normal distribution. The methods considered are in two groups: inferential and decision theoretic. In the inferential Bayesian methods of sample size determination, we are solely concerned with the inference about the parameter(s) of interest. The fully Bayesian or decision theoretic approach treats the problem as a decision problem and employs a loss or utility function.
本文的目的是回顾贝叶斯样本量确定方法的一些关键技术。方法是涵盖少量简单问题,比如估计正态分布的均值。所考虑的方法分为两组:推断性方法和决策理论方法。在推断性贝叶斯样本量确定方法中,我们只关注对感兴趣参数的推断。完全贝叶斯或决策理论方法将该问题视为决策问题,并采用损失或效用函数。