Trend-Incomplete-Renewal Process Models for Repairable Systems

DOI10.1515/EQC-2012-0003zbMath1258.90031OpenAlexW136431868MaRDI QIDQ4908452

Diana Pietzner, Jürgen Franz

Publication date: 5 March 2013

Published in: Economic Quality Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/eqc-2012-0003

zbMATH Keywords

maximum likelihood estimationnonhomogeneous Poisson processrepairable systemBayes parameter estimationPareto-Weibull processestrend-incomplete-renewal processvirtual age functionWeibull-Weibull processes

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Point estimation (62F10) Bayesian inference (62F15) Reliability, availability, maintenance, inspection in operations research (90B25) Applications of renewal theory (reliability, demand theory, etc.) (60K10)

Related Items (1)

Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process

This page was built for publication: Trend-Incomplete-Renewal Process Models for Repairable Systems