원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.7 No.4
2013.07
pp.401-414
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper proposes a semi-parametric software reliability model (SRM) based on a mixed gamma distribution, so-called the mixed gamma SRM. In addition, we develop the param- eter estimation method for the mixed gamma SRM. Concretely, the estimation method is based on the Bayesian estimation and the parameter estimation algorithm is described by MCMC (Markov chain Monte Carlo) method with grouped data. In numerical experiment, we compare the mixed gamma SRM with several parametric SRMs, and examine the per- formance on the tting ability of proposed model.
목차
Abstract
1 Introduction
2 Mixed Gamma SRM
3 Bayesian Computation
4 Numerical Examples
5 Conclusions
Acknowledgments
References
1 Introduction
2 Mixed Gamma SRM
3 Bayesian Computation
4 Numerical Examples
5 Conclusions
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보