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劣化モデル×ワイブル生存回帰 (Weibull Parametric Survival Regression)×
分野信頼性生存時間解析
系統Regression modelSurvival analysis
提唱年19981951
提唱者Meeker, Escobar & LuWaloddi Weibull
種類Stochastic degradation path modelFully parametric survival regression model
原典Meeker, W. Q., Escobar, L. A., & Lu, C. J. (1998). Accelerated degradation tests: modeling and analysis. Technometrics, 40(2), 89–99. DOI ↗Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. DOI ↗
別名Accelerated Degradation Testing, Degradation Path Models, Performance Degradation Analysis, Bozunma Modelleriweibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma
関連34
概要Degradation models estimate product lifetime by tracking measurable performance characteristics—such as crack length, light output, or insulation resistance—over time rather than waiting for outright failure. Introduced in rigorous form by Meeker, Escobar, and Lu (1998), these models fit a stochastic degradation path to repeated measurements and define failure as the first time the characteristic crosses a predetermined threshold, enabling reliable lifetime inference from accelerated test data with very few or no observed failures.Weibull regression is a fully parametric survival model, formalised by Kalbfleisch and Prentice, that assumes survival times follow a Weibull distribution. A shape parameter controls whether the hazard increases, decreases, or remains constant over time, while covariates shift the scale of the distribution to express how predictors affect survival.
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ScholarGate手法を比較: Degradation Models · Weibull Regression. 2026-06-18に以下より取得 https://scholargate.app/ja/compare