Adjusted empirical likelihood models with estimating equations for accelerated life tests

作者：Wang, Ni; Lu, Jye-Chi; Chen, Di; Kvam, Paul H.^*

来源：Journal of Statistical Planning and Inference, 2011, 141(1): 140-155.

DOI：10.1016/j.jspi.2010.05.016

• Asymptotics
• Maximum likelihood estimation
• Percentile regression
• Random censoring
• Reliability

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.

• 出版日期2011-1