Flowgraph models: a Bayesian case study in construction engineering

DOI10.1016/J.JSPI.2004.06.046zbMath1058.62115OpenAlexW1978213701MaRDI QIDQ1765660

Aparna V. Huzurbazar

Publication date: 23 February 2005

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2004.06.046

zbMATH Keywords

ReliabilitySemi-Markov processHazardTime-to-event dataPredictive distribution

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (3)

Flowgraph models for estimating total time of authentication process in RFID system ⋮ Survival analysis in supply chains using statistical flowgraph models: Predicting time to supply chain disruption ⋮ Expanding the statistical flowgraph model framework to use any transition distribution

Cites Work

• Unnamed Item
• Slice sampling. (With discussions and rejoinder)
• Understanding the shape of the hazard rate: A process point of view. (With comments and a rejoinder).
• Nonparametric estimation for semi-Markov processes based on its hazard rate functions
• Nonparametric reliability estimation of semi-Markov processes
• Flowgraph Models for Generalized Phase Type Distributions Having Non-Exponential Waiting Times
• Stochastic Network Models for Survival Analysis
• Saddlepoint Approximations in Statistics

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