ESTIMATION OF PARAMETERS FOR NONHOMOGENEOUS POISSON PROCESS: SOFTWARE RELIABILITY WITH CHANGE-POINT MODEL

DOI10.1081/SAC-100105083zbMath1008.62661MaRDI QIDQ4787604

Yi-Ping Chang

Publication date: 8 January 2003

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (10)

Testing the Existence of Change-Point in NHPP Software Reliability Models ⋮ An Effort Allocation Model for a Three Stage Software Reliability Growth Model ⋮ Modeling and analysis of software fault detection and correction process through Weibull-type fault reduction factor, change point and imperfect debugging ⋮ Bivariate change-point modeling for software reliability assessment with uncertainty of testing-environment factor ⋮ A Bayesian Change-Point Analysis for Software Reliability Models ⋮ Parameter Estimation of Some NHPP Software Reliability Models with Change-Point ⋮ Software reliability growth model with change-point and effort control using a power function of the testing time ⋮ An optimized method for software reliability model based on nonhomogeneous Poisson process ⋮ Predictive analyses for nonhomogeneous Poisson processes with power law using Bayesian approach ⋮ Effect of change point and imperfect debugging in software reliability and its optimal release policy

Cites Work

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• Bayesian Computation for Nonhomogeneous Poisson Processes in Software Reliability
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• Inference and Prediction for a General Order Statistic Model With Unknown Population Size
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures
• Change-point problems in software and hardware reliability
• Software Reliability Modeling
• Estimation in change-point hazard rate models
• A method for the solution of certain non-linear problems in least squares

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