Geometry of an accelerated model with censored data

Failure Process Modeling with Censored Data in Accelerated Life Tests

Manufacturers need to evaluate the reliability of their products in order to increase the customer satisfaction. Proper analysis of reliability also requires an effective study of the failure process of a product, especially its failure time. So, the Failure Process Modeling (FPM) plays a key role in the reliability analysis of the system that has been less focused on. This paper introduces a f...

failure process modeling with censored data in accelerated life tests

manufacturers need to evaluate the reliability of their products in order to increase the customer satisfaction. proper analysis of reliability also requires an effective study of the failure process of a product, especially its failure time. so, the failure process modeling (fpm) plays a key role in the reliability analysis of the system that has been less focused on. this paper introduces a f...

Design and Analysis of Step Stress Accelerated Life Tests for Censored Data}

Life testing often is consuming a very long time for testing. Therefore, the engineers and statisticians are looking for some approaches to reduce the running time. There is a recommended method for reducing the time of failure, such that the stress level of the test units will increase, and then they will fail earlier than normal operating conditions. These approaches are called accelerated li...

Jackknife Empirical Likelihood for the Accelerated Failure Time Model with Censored Data

Kendall and Gehan estimating functions are used to estimate the regression parameter in accelerated failure time (AFT) model with censored observations. The accelerated failure time model is the preferred survival analysis method because it maintains a consistent association between the covariate and the survival time. The jackknife empirical likelihood method is used because it overcomes compu...

Bayesian Accelerated Failure Time Model with Multivariate Doubly-Interval-Censored Data and Flexible Distributional Assumptions