Title :
Practical Applications of Advanced Statistical Models in Reliability Data Analysis
Author :
Krivtsov, Vasiliy ; Yevkin, Olexandr
Author_Institution :
Reliability & Risk Anal., Ford Motor Co., Dearborn, MI, USA
Abstract :
The purpose of this paper is to share some practical applications of advanced probabilistic models in reliability data analysis. In particular, we will focus on reliability models with fixed and time-dependent covariates. While these models are popular in biological and medical studies, their application in engineering reliability data analysis is still limited. As a special advanced topic, we also discuss a new approach to model/estimate MTTF using Pade approximation.
Keywords :
approximation theory; data analysis; probability; reliability; statistical analysis; MTTF; Pade approximation; advanced statistical models; biological studies; engineering reliability data analysis; fixed covariates; mean time to failure; medical studies; probabilistic models; time-dependent covariates; Analytical models; Approximation methods; Biological system modeling; Data analysis; Data models; Reliability; Warranties; Pade; covariates; extrapolation; hazard; reliability;
Conference_Titel :
Availability, Reliability and Security (ARES), 2014 Ninth International Conference on
Conference_Location :
Fribourg
DOI :
10.1109/ARES.2014.64
