E-Bayesian estimation for the Burr type XII model based on type-2 censoring

Autor:	Hassan M. Okasha, Z. F. Jaheen
Rok vydání:	2011
Předmět:	Bayes estimator Burr distribution Mean squared error Applied Mathematics Monte Carlo method Bayes factor Function (mathematics) Censoring (statistics) Bayes' theorem Modelling and Simulation Modeling and Simulation Statistics Applied mathematics Mathematics
Zdroj:	Applied Mathematical Modelling. 35:4730-4737
ISSN:	0307-904X
DOI:	10.1016/j.apm.2011.03.055
Popis:	This paper is concerned with using the E-Bayesian method [M. Han, Applied Mathematical Modeling (2009) 1915–1922] for computing estimates for the parameter and reliability function of the Burr type XII distribution based on type-2 censored samples. The estimates are obtained based on squared error and LINEX loss functions. A comparison between the new method and the corresponding Bayes and maximum likelihood techniques is made using the Monte Carlo simulation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1937128cfbfad38c2c818d03b5f46066 https://doi.org/10.1016/j.apm.2011.03.055 Zobrazit plný text záznamu Full Text from ScienceDirect