EM算法在非齐次泊松过程模型参数估计中的应用

EM算法在非齐次泊松过程模型参数估计中的应用 APPLYING EM ALGORITHM TO ESTIMATING THE VALUES OFTHE PARAMETERS OF NON-HOMOGENEOUS PAISSON MODELS 吴新玲 Wu Xinling Xu Renzuo 1 first-author 徐仁佐 1 武汉大学软件工程研究所 武汉大学软件工程研究所 Software Engineering Institute,Wuhan Vniversity Software Engineering Institute,Wuhan Vniversity 软件测试中收集的累积出错数据,往往是不完全的,使用它们对软件的可靠性进行分析,将影响到分析结果的精度.解决这一问题的途径有很多,本文试图应用 EM 算法于 NHPP（非齐次泊松过程）类模型的参数估计,以提高估计精度,从而提高软件可靠性分析的精确程度. During software test phase,the accumulated failure data often are incomplete.Using them to anal- yse the software reliability will effect the result accuracy,there are many ways to solve this problem. In this article,we try to apply EM algorithm to estimating the values of the parameters of NHPP （Non-homogeneous Paisson）models,The estimating accuracy may be increased by this way.So the re- sult of software reliability analysis may be improved by this way too. EM 算法 G-O 模型 非齐次泊松过程 条件概率密度 强度函数 EM algo （?）thm G-O model non-homogeneous Paisson process condition probability indensity density function TP311 国家自然科学基金(61672102) 1992-04-01 2021-04-01 4