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| Статистически анализ на надеждността× | Регресия на Вайбул за оцеляване (Weibull Parametric Survival Regression)× | |
|---|---|---|
| Област≠ | Надеждност | Анализ на преживяемостта |
| Семейство≠ | Regression model | Survival analysis |
| Година на възникване≠ | 1998 | 1951 |
| Създател≠ | William Meeker & Luis Escobar | Waloddi Weibull |
| Тип≠ | Parametric lifetime modeling | Fully parametric survival regression model |
| Основополагащ източник≠ | Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4 | Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. DOI ↗ |
| Други названия | Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi | weibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma |
| Свързани≠ | 3 | 4 |
| Резюме≠ | Statistical reliability analysis models the time-to-failure of components, systems, or products using parametric lifetime distributions fitted to observed or censored failure data. Formalized comprehensively by William Q. Meeker and Luis A. Escobar in their 1998 Wiley monograph, the framework integrates maximum likelihood estimation, censoring mechanisms, and distributional diagnostics to produce probability-of-failure curves, hazard rates, and quantile estimates that support design, warranty, and maintenance decisions. | 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. |
| ScholarGateНабор от данни ↗ |
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