Estimation of component reliability from superposed renewal processes by means of latent variables

DOI10.1007/S00180-021-01124-0zbMath1505.62341OpenAlexW3180184150MaRDI QIDQ2135863

Carolin Wagner, Adriano Polpo, Agatha Rodrigues, Pascal Kerschke, Carlos Alberto de B. Pereira, Bernd Hellingrath, Heike Trautmann

Publication date: 10 May 2022

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-021-01124-0

zbMATH Keywords

maximum likelihood estimatorparametric estimationBayesian paradigmrepairable systemaggregate datacomponent lifetime

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Reliability and life testing (62N05)

Related Items (1)

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Uses Software

• R

Cites Work

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• Nonparametric estimation of the number of components of a superposition of renewal processes
• Inference from iterative simulation using multiple sequences
• Markov chains for exploring posterior distributions. (With discussion)
• The Weibull Distribution
• Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications
• A Simplex Method for Function Minimization
• Introducing Monte Carlo Methods with R

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