Maximum Likelihood Estimation for the Weight Lindley Distribution Parameters under Different Types of Censoring
Pedro L. Ramos, Francisco Louzada, Vicente G. Cancho
TL;DR
This paper derives maximum likelihood estimation equations for the Weight Lindley distribution parameters under various censoring types, evaluates their performance via simulation, and demonstrates application on real data.
Contribution
It introduces a comprehensive approach for MLE of the Weight Lindley distribution considering different censoring mechanisms, filling a gap in statistical modeling.
Findings
MLE equations derived for all censoring types
Simulation shows good estimator performance
Real data application validates methodology
Abstract
In this paper the maximum likelihood equations for the parameters of the Weight Lindley distribution are studied considering different types of censoring, such as, type I, type II and random censoring mechanism. A numerical simulation study is perform to evaluate the maximum likelihood estimates. The proposed methodology is illustrated in a real data set.
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Taxonomy
TopicsAdvanced Statistical Methods and Models · Statistical Distribution Estimation and Applications · Statistical Methods and Inference