2015•arXiv (Cornell University)Open access

Maximum Likelihood Estimation for the Weight Lindley Distribution Parameters under Different Types of Censoring

Pedro Luiz Ramos, Francisco Louzada, Vicente G. Cancho

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.

Open-access reader

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Censoring (clinical trials), Maximum likelihood, Statistics, Mathematics, Estimation, Restricted maximum likelihood, Econometrics, Maximum likelihood sequence estimation