Inference and Predictions from Poisson Point Processes Incorporating Expert Knowledge

DOI10.2307/2291146zbMath0818.62074OpenAlexW4233320176MaRDI QIDQ4836984

Nozer D. Singpurwalla, Sylvia Campodónico

Publication date: 21 August 1995

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2291146

zbMATH Keywords

reliabilitysoftware reliabilityexpert knowledgepower-law processmean value functiondefects in a rail segmentengineering informationlogarithmic Poisson processnonhomogeneous Poisson point processesprediction of software failures

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Non-Markovian processes: estimation (62M09) Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05) Reliability and life testing (62N05) Theory of software (68N99)

Related Items (6)

Bayesian Analysis of Stochastic Processes in Reliability ⋮ Predictability of operational processes over finite horizon ⋮ On modeling change points in non-homogeneous Poisson processes ⋮ ACCOUNTING FOR MODEL UNCERTAINTY IN RELIABILITY ANALYSIS OF MECHANICAL REPAIRABLE EQUIPMENT ⋮ Achieving growth in reliability ⋮ Bayesian Forecasting for Accident Proneness Evaluation

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