Title :
Estimating parameters of Ohba three-parameters NHPP Models
Author :
Zhihong, Yang ; Cihua, Liu
Author_Institution :
Sch. of Math. & Stat., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Ohba NHPP models are wide used to discuss the software reliability.We present the 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.
Keywords :
maximum likelihood estimation; software reliability; stochastic processes; Ohba three-parameters NHPP Model; grouped failure data; maximum likelihood; nonhomogeneous Poisson process; software reliability; Analytical models; Equations; Mathematical model; Software; Software measurement; Software reliability; Grouped failure data; Maximum Likelihood (ML); Nonh omogeneous Poisson Process (NHPP) Model; Software error detection; Software reliability; Ungrouped failure Data; necessary & sufficient condition;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974854
