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A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates
A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates
by Tadashi Dohi , Siqiao Li , Hiroyuki Okamura
in probability_and_statistics / software reliability models; proportional intensity model; non-homogeneous Poisson process; time-dependent covariate; maximum likelihood estimation; goodness-of-fit performance; predictive performance
2022
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A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates
by Tadashi Dohi , Siqiao Li , Hiroyuki Okamura
in probability_and_statistics / software reliability models; proportional intensity model; non-homogeneous Poisson process; time-dependent covariate; maximum likelihood estimation; goodness-of-fit performance; predictive performance
2022
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A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates
A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates
by Tadashi Dohi , Siqiao Li , Hiroyuki Okamura
in probability_and_statistics / software reliability models; proportional intensity model; non-homogeneous Poisson process; time-dependent covariate; maximum likelihood estimation; goodness-of-fit performance; predictive performance
2022

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Mohammed Bin Rashid Library /
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A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates
A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates
Journal Article

A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates

Tadashi Dohi,
Siqiao Li,
Hiroyuki Okamura
2022
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MDPI AG
Subject

probability_and_statistics

/ software reliability models; proportional intensity model; non-homogeneous Poisson process; time-dependent covariate; maximum likelihood estimation; goodness-of-fit performance; predictive performance

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