Residual life estimation based on nonlinear-multivariate Wiener processes

DOI10.1080/00949655.2014.898765zbMath1457.62324OpenAlexW2029536321MaRDI QIDQ5220823

Bo Guo, Xiao-Lin Wang, Narayanaswamy Balakrishnan

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.898765

zbMATH Keywords

degradation dataresidual lifeperformance characteristicsmultivariate Wiener process with nonlinear drifts

Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (5)

A time-discrete and zero-adjusted gamma process model with application to degradation analysis ⋮ Degradation-Based Reliability Modeling of Complex Systems in Dynamic Environments ⋮ Reliability and availability analysis of stochastic degradation systems based on bivariate Wiener processes ⋮ Residual life estimation under time-varying conditions based on a Wiener process ⋮ Inverse Gaussian processes with correlated random effects for multivariate degradation modeling

Uses Software

• SPLIDA

Cites Work

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