DocumentCode :
1811910
Title :
Solving maximum likelihood equations for two-parameter software reliability models using grouped data
Author :
Knafl, George J.
Author_Institution :
Dept. of Comput. Sci. & Inf. Syst., DePaul Univ., Chicago, IL, USA
fYear :
1992
fDate :
7-10 Oct 1992
Firstpage :
205
Lastpage :
213
Abstract :
Existence conditions are given for maximum likelihood parameter estimates for several commonly employed two-parameter software reliability models. For these models, the maximum likelihood equations can be expressed in terms of a single equation in one unknown. Bounds are given on solutions to these single equations problems to serve as initial intervals for search algorithms like bisection. Uniqueness of the solutions is established in some cases. Results are given for the case of grouped failure data
Keywords :
failure analysis; maximum likelihood estimation; parameter estimation; search problems; software reliability; bisection; bounds; existence conditions; grouped failure data; initial intervals; maximum likelihood equations; nonhomogeneous Poisson processes; search algorithms; solution uniqueness; two-parameter software reliability models; Bibliographies; Computer science; Information systems; Maximum likelihood estimation; Parameter estimation; Poisson equations; Predictive models; Random variables; Software engineering; Software reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering, 1992. Proceedings., Third International Symposium on
Conference_Location :
Research Triangle Park, NC
Print_ISBN :
0-8186-2975-4
Type :
conf
DOI :
10.1109/ISSRE.1992.285844
Filename :
285844
Link To Document :
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