เปรียบเทียบวิธี

	การวิเคราะห์ความน่าเชื่อถือทางสถิติ	แบบจำลองการเสื่อมสภาพ
สาขาวิชา	ความเชื่อถือได้	ความเชื่อถือได้
ตระกูล	Regression model	Regression model
ปีกำเนิด	1998	1998
ผู้ริเริ่ม	William Meeker & Luis Escobar	Meeker, Escobar & Lu
ประเภท	Parametric lifetime modeling	Stochastic degradation path model
แหล่งต้นตำรับ	Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4	Meeker, W. Q., Escobar, L. A., & Lu, C. J. (1998). Accelerated degradation tests: modeling and analysis. Technometrics, 40(2), 89–99.
ชื่อเรียกอื่น	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi	Accelerated Degradation Testing, Degradation Path Models, Performance Degradation Analysis, Bozunma Modelleri
ที่เกี่ยวข้อง	3	3
สรุป	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.	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.