Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1145013 | Journal of the Korean Statistical Society | 2010 | 8 Pages |
Abstract
This paper deals with the software reliability model based on a nonhomogeneous Poisson process. We introduce new types of mean functions which can be either NHPP-I or NHPP-II according to the choice of the distribution function. The proposed mean function is motivated by the fact that a strictly monotone increasing function can be modeled by a distribution function and an unknown distribution function approximated by a mixture of beta distributions. Some existing mean functions can be regarded as special cases of the proposed mean functions. The EM algorithm is used to obtain maximum likelihood estimates of the parameters in the proposed model.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Dae Kyung Kim, Dong Ho Park, In-Kwon Yeo,