Survival regression is used to estimate the relation between time-to-event and feature variables, important in application domains such as medicine, marketing, risk management, sales management. Nonlinear tree based machine learning algorithms implemented libraries XGBoost, scikit-learn, LightGBM, CatBoost are often more accurate practice than linear models. However, existing state-of-the-art i...

In this paper a Bayesian approach for accelerated life testing will be considered. It will be assumed that the failure times at the different stress levels follow a Weibull distribution and exponential distribution, respectively. In accelerated life tests, the components are exposed to an environment that is more severe that the usual environment, such that the components will fail in a shorter...

In survival analysis, the accelerated failure time model is a useful alternative to the popular Cox proportional hazards model due to its easy interpretation. Current estimation methods for the accelerated failure time model mostly assume independent and identically distributed random errors, but in many applications the conditional variance of log survival times depend on covariates exhibiting...

Within the DFR concept, the methodology of Design of Experiments (DOE) can be applied in the design and manufacturing stages to improve product reliability. It can be used to systematically investigate the variables (factors) that influence the life of the product, thereby providing the analyst with information that can be used to improve reliability. The analysis can also be used in the produc...