略谈贝叶斯统计学派的假设检验  

作　　者：宋凤丽[1] 代庆生[2] 

机构地区：[1]南京信息工程大学数理学院,江苏南京210044 [2]南京信息工程大学总务处v江苏南京210044

出　　处：《中国科技博览》2009年第34期198-198,共1页China Science and Technology Review

摘　　要：假设检验问题是统计推断和决策的基本形式之一，其核心是利用样本所提供的信息对总体的某个假设给出判断，接受假设或者拒绝假设。对于该问题经典统计和贝叶斯统计给出不同的检验方法和检验准则。本文浅谈贝叶斯统计在假设检验方面的优势及不足。The hypothesis-testing problem is that statistical inference and decision making, one of the basic form, the core is to use the information provided by the sample overall is given a hypothetical judge, accept or reject hypothesis assumed. For this problem classical statistics and Bayesian statistics give a different test methods and testing criteria. This Bayesian statistics in hypothesis testing of the strengths and deficiencies.

关 键 词：假设检验 先验分布 后验验分布 P值 

分 类 号：S963.165[农业科学—水产养殖]