Estimating the parameters of one class of Nonhomogeneous Poisson Process Models

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.

关键词： Software reliability Software error detection Grouped failure Data Ungrouped failure Data Nonhomogeneous Poisson Process (NHPP) Model Mazimum Likelihood (ML) necessary & sufficient condition

作者: YANG Zhihong LIU Cihua

作者单位: School of Mathematics and Statistics, Huazhong University of Science and Technology, P.R.China,430074

会议类型: 国际会议

会议名称: 2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 1-6

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）