Parameter Estimation of Lindley Distribution Based on Progressive Type-II Censored Competing Risks Data with Binomial Removals

Parameter Estimation of Lindley Distribution Based on Progressive Type-II Censored Competing Risks Data with Binomial Removals

The competing risk model based on Lindley distribution is discussed under the progressive type-II censored sample data with binomial removals. The maximum likelihood estimation of the unknown parameters of the distribution is established. Using the Lindley approximation method, we also obtain the Ba...

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Bibliographic Details
Main Authors: Jiaxin Nie, Wenhao Gui
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Mathematics
Subjects:
lindley distribution
progressive type-II censoring with binomial removals
lindley approximation
maximum likelihood estimation
bayes estimation
Online Access:https://www.mdpi.com/2227-7390/7/7/646
Description
Summary:The competing risk model based on Lindley distribution is discussed under the progressive type-II censored sample data with binomial removals. The maximum likelihood estimation of the unknown parameters of the distribution is established. Using the Lindley approximation method, we also obtain the Bayesian estimation of the unknown parameters of the distribution under different loss functions. The performance of different estimates is studied in this article. A real practical dataset is analyzed for illustration.
ISSN:2227-7390

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