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Akbar Asgharzadeh

Akbar Asgharzadeh

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Faculty of Mathematical Sciences
Address: Department of Statistics University of Mazandaran Babolsar, IRAN
Phone: 011-54302476

Research

Title
Bayesian inference for Rayleigh distribution under hybrid censoring
Type
JournalPaper
Keywords
Bayesian estimation  Hybrid censoring  Bayesian prediction  Rayleigh distribution
Year
2016
Journal International Journal of Systems Assurance Engineering and Management
DOI
Researchers Akbar Asgharzadeh ، Mina Azizpour

Abstract

In this paper, and based on a hybrid censored sample from a Rayleigh distribution, Bayes estimators and highest posterior density credible intervals are obtained for the unknown parameter, and some lifetime parameters such as the reliability and hazard rate functions. Bayes estimators are obtained using squared error and linear–exponential loss functions. We also obtain the Bayes predictive estimator and %95 prediction interval for future observations. Finally, a numerical example is given to illustrate the application of the results and Monte Carlo simulations are performed to compare the performances of the different methods.