国防科学技术大学 信息系统与管理学院,长沙,410073
Published:2011
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LIU Qi, WANG Nan. Bayesian sequential variance test technique based on posterior probability (Ⅰ)[J]. 2011, 26(7).
DOI:
LIU Qi, WANG Nan. Bayesian sequential variance test technique based on posterior probability (Ⅰ)[J]. 2011, 26(7). DOI:
基于验后概率和"小概率事件原理"
对复杂假设条件下
方差的Bayesian序贯检验
提出了基于Bayesian验后概率的序贯方差检验的基本假设
建立了Bayesian序贯方差检验(BSVT)模型
设计了临界值的求解算法
并对"强制"截尾条件下的假设检验判别准则进行了论述.最后
结合示例对BSVT模型的求解与应用进行了说明.
Based on posterior probability and "small probability event principle"
for the Bayesian sequential test on variance in complicated hypothesis conditions
the basic assumptions of Bayesian sequential variance test were presented
the Bayesian sequential variance test (BSVT) model was constructed
the algorithms of solving the critical value of sequential test were designed
and for given censored test number
the judge criteria for hypothesis testing were discussed.At last
the solution and application of BSVT model were illustrated with an example.
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