Statistical Models to Analyze Failure, Wear, Fatigue, and Degradation Data with Explanatory Variables

DOI10.1080/03610920902947519zbMath1175.62108OpenAlexW2101246438MaRDI QIDQ3645025

Mikhail S. Nikulin, Vilijandas B. Bagdonavičius

Publication date: 16 November 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920902947519

zbMATH Keywords

reliabilitywearcovariatesdegradationfailure time regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Point estimation (62F10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (4)

Joint Analysis of Health Histories, Physiological State, and Survival ⋮ Unnamed Item ⋮ Shocks as Burn-In in Heterogeneous Populations ⋮ Degradation-Based Reliability Modeling of Complex Systems in Dynamic Environments

Cites Work

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