Article ID Journal Published Year Pages File Type
1150113 Journal of Statistical Planning and Inference 2011 16 Pages PDF
Abstract

This article proposes an adjusted empirical likelihood estimation (AMELE) method to model and analyze accelerated life testing data. This approach flexibly and rigorously incorporates distribution assumptions and regression structures by estimating equations within a semiparametric estimation framework. An efficient method is provided to compute the empirical likelihood estimates, and asymptotic properties are studied. Real-life examples and numerical studies demonstrate the advantage of the proposed methodology.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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