Nonhomogeneous Poisson Processes Based on Beta-Mixtures in Software Reliability Models
This paper deals with the software reliability model based on a nonhomogenous Poisson process. We introduce a new family of mean value functions which can be either NHPP- Ⅰ orNHPP-Ⅱ according to the choice of the distribution function. The proposed mean value function is motivates by the fact that a strictly monotone increasing function can be modeled by a distribution function and that an unknown distribution function can be also approximated by a mixture of beta distributions. Many existing mean value functions can be regards as special cases of the proposed mean value functions. The maximum likelihood approach is used to estimate the parameters contained in the proposed model
beta-mixtures EM-algorithm intensity function mean value function
Dae Kyung Kim In-Kwon Yeo Dong Ho Park
Division of Mathematics and Statistical Informatics, Chonbuk National University, Korea Department of Statistics, Sookmyung womens University, Korea Department of Information and Statistics, Hallym University, Korea
国际会议
The First International Conference on Maintenance Engineering(首届维修工程国际学术会议)
成都
英文
580-586
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）