Application of interval-valued probabilities and unified scheme of Non-Homogeneous Poisson Process models to software failure prognostics

Safety and Reliability of Complex Engineered Systems ◽

10.1201/b19094-315 ◽

2015 ◽

pp. 2403-2411 ◽

Cited By ~ 1

Author(s):

V Krymsky ◽

I Ivanov

Keyword(s):

Poisson Process ◽

Process Models ◽

Homogeneous Poisson Process ◽

Software Failure ◽

Non Homogeneous Poisson Process ◽

Interval Valued ◽

Failure Prognostics

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Some flexible families of intensities for non-homogeneous Poisson process models and their Bayes inference

Quality and Reliability Engineering International ◽

10.1002/qre.520 ◽

2003 ◽

Vol 19 (2) ◽

pp. 171-181 ◽

Cited By ~ 14

Author(s):

Kenneth J. Ryan

Keyword(s):

Poisson Process ◽

Process Models ◽

Homogeneous Poisson Process ◽

Bayes Inference ◽

Non Homogeneous Poisson Process

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On inconsistency of estimators of parameters of non-homogeneous Poisson process models for software reliability

Statistics & Probability Letters ◽

10.1016/j.spl.2008.01.089 ◽

2008 ◽

Vol 78 (14) ◽

pp. 2217-2221 ◽

Cited By ~ 12

Author(s):

Tapan K. Nayak ◽

Sudip Bose ◽

Subrata Kundu

Keyword(s):

Poisson Process ◽

Software Reliability ◽

Process Models ◽

Homogeneous Poisson Process ◽

Non Homogeneous Poisson Process

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Non-homogeneous Poisson Process Models for Software Reliability

Analytic Methods in Systems and Software Testing ◽

10.1002/9781119357056.ch7 ◽

2018 ◽

pp. 195-211 ◽

Cited By ~ 1

Author(s):

Steven E. Rigdon

Keyword(s):

Poisson Process ◽

Software Reliability ◽

Process Models ◽

Homogeneous Poisson Process ◽

Non Homogeneous Poisson Process

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Enhance non-homogeneous Poisson process models incorporating testing effort with coverage function

Journal of Statistics and Management Systems ◽

10.1080/09720510.2017.1296120 ◽

2017 ◽

Vol 20 (3) ◽

pp. 297-308

Author(s):

Vikas Shinde ◽

Jitendra Kumar

Keyword(s):

Poisson Process ◽

Process Models ◽

Homogeneous Poisson Process ◽

Testing Effort ◽

Coverage Function ◽

Non Homogeneous Poisson Process

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Predicting the Learning Performance of Artificial Intelligent Systems Using Non-Homogeneous Poisson Process Models

Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17 ◽

10.1115/1.802655.paper76 ◽

2007 ◽

pp. 487-492

Keyword(s):

Poisson Process ◽

Intelligent Systems ◽

Process Models ◽

Learning Performance ◽

Homogeneous Poisson Process ◽

Artificial Intelligent ◽

Non Homogeneous Poisson Process

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Truncated Non-homogeneous Poisson Process Models — Properties and Performance

OPSEARCH ◽

10.1007/bf03398742 ◽

2005 ◽

Vol 42 (4) ◽

pp. 310-321 ◽

Cited By ~ 1

Author(s):

Michael Grottke ◽

Kishor S. Trivedi

Keyword(s):

Poisson Process ◽

Process Models ◽

Homogeneous Poisson Process ◽

And Performance ◽

Non Homogeneous Poisson Process

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Unification of finite failure non-homogeneous Poisson process models through test coverage

Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering ◽

10.1109/issre.1996.558886 ◽

2002 ◽

Cited By ~ 35

Author(s):

S.S. Gokhale ◽

T. Philip ◽

P.N. Marinos ◽

K.S. Trivedi

Keyword(s):

Poisson Process ◽

Process Models ◽

Test Coverage ◽

Homogeneous Poisson Process ◽

Non Homogeneous Poisson Process

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An alternative reliability evaluation of non‐homogeneous Poisson process models for software reliability

International Journal of Quality & Reliability Management ◽

10.1108/02656710010336352 ◽

2000 ◽

Vol 17 (7) ◽

pp. 800-811 ◽

Cited By ~ 1

Author(s):

Yi‐Ping Chang

Keyword(s):

Poisson Process ◽

Software Reliability ◽

Reliability Evaluation ◽

Process Models ◽

Homogeneous Poisson Process ◽

Non Homogeneous Poisson Process

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Non-Homogeneous Poisson Process Model for Genetic Crossover Interference

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2012.655876 ◽

2013 ◽

Vol 43 (1) ◽

pp. 44-71

Author(s):

Szu-Yun Leu ◽

Pranab K. Sen

Keyword(s):

Poisson Process ◽

Process Model ◽

Homogeneous Poisson Process ◽

Crossover Interference ◽

Non Homogeneous Poisson Process

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BAYESIAN SELECTION OF LOCAL BANDWIDTH IN NON-HOMOGENEOUS POISSON PROCESS KERNEL ESTIMATORS FOR THE INTENSITY FUNCTION

Far East Journal of Theoretical Statistics ◽

10.17654/ts061020109 ◽

2021 ◽

pp. 109-144

Author(s):

M. Badiane ◽

P. Ngom ◽

C. Manga

Keyword(s):

Poisson Process ◽

Intensity Function ◽

Kernel Estimators ◽

Homogeneous Poisson Process ◽

Non Homogeneous Poisson Process ◽

Selection Of

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