विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| सांख्यिकीय विश्वसनीयता विश्लेषण× | वेइबुल पैरामीट्रिक सर्वाइवल रिग्रेशन× | |
|---|---|---|
| क्षेत्र≠ | विश्वसनीयता | उत्तरजीविता |
| परिवार≠ | Regression model | Survival analysis |
| उद्भव वर्ष≠ | 1998 | 1951 |
| प्रवर्तक≠ | William Meeker & Luis Escobar | Waloddi Weibull |
| प्रकार≠ | Parametric lifetime modeling | Fully parametric survival regression model |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम | 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 |
| संबंधित≠ | 3 | 4 |
| सारांश≠ | 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. |
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