Work

Bayesian Estimation of the Weibull Parameters Based on Competing Risks Grouped Data

Year: 2018

Type: article

Abstract: Based on the competing risks grouped data, Bayesian estimation approach is considered for the parameters of the Weibull distribution and the related speciﬁc hazard and survival functions. The estimation procedures are carried out under the square error loss (SELF) and linear exponential loss (LINEX) functions. High posterior (HPD) credible intervals for the speciﬁed parameters are also obtained. The derived estimators are in explicit closed forms. Their properties and performance are illustrated through an application to real lifetime’s data and an extended simulation study. Overall results indicate that, the Bayesian estimators are dominated other estimators obtained by other methods and are recommended when continuous life testing is not available.

Source: Electronic journal of applied statistical analysis

DOI: 10.1285/i20705948v11n2p687

Authors: Hatim Solayman Migdadi, Mohammad H. Almomani, Moustafa Omar Ahmed Abu‐Shawiesh

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2897101367

FWCI:

Cites: 1

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Related to: 10