Estimating the Parameters of One Class of Nonhomogeneous Poisson Process Models

被引：0
|
作者：
Yang Zhihong [1 ]
Liu Cihua [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Peoples R China
来源：
RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, VOLS I AND II | 2009年
关键词：
Software Reliability; Software Error Detection; Grouped Failure Data; Ungrouped Failure Data; Nonhomogeneous Poisson Process (NHPP) Model; Maximum Likelihood (ML); Necessary & Sufficient Condition; SOFTWARE-RELIABILITY; ERROR-DETECTION;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
NHPP models are wide used to discuss the software reliability. We suggest an extension of the G-O original model, present necessary & sufficient conditions for the likelihood estimates to be finite, positive, and unique. Results are given for either grouped failure data or ungrouped failure data. We easily apply these results to original G-O model and its generalization.
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页码：702 / 707
页数：6
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