A log-location-scale lifetime distribution with censored data: Regression modeling, residuals, and global influence

Francisco Louzada and Vitor A. A. Marchi

Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 11, 2549-2562

Abstract: In survival analysis applications, the presence of failure rate functions with non monotone shapes is common. Therefore, models that can accommodate such different shapes are needed. In this article, we present a location regression model based on the complementary exponentiated exponential geometric distribution as an alternative to the usual bathtub, increasing, and decreasing failure rates in lifetime data. Assuming censored data, we consider the maximum likelihood inference for analysis, graphical verification for residuals, and test statistics for influential points.

Date: 2018
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DOI: 10.1080/03610926.2015.1021016

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