Imprecise statistical inference for accelerated life testing data: imprecision related to the likelihood ratio test
A.A.H. Ahmadini and F.P.A. Coolen
https://doi.org/10.19124/ima.2018.001.01
Abstract
In this paper, we present a new imprecise statistical inference method for accelerated life testing data, where nonparametric predictive inferences at normal stress levels are integrated with a parametric Arrhenius-Weibull model. The method includes imprecision which provides robustness with regard to the model assumptions. The imprecision leads to observations at increased stress levels being transformed into interval-valued observations at the normal stress level, where the width of an interval is larger for observations from higher stress levels. Simulation studies are presented to investigate the performance of the proposed method.