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IJSW International Journal of Scientific World E-ISSN 2307-9037

Bayesian estimation of generalized half logistic type II doubly censored data

Abstract

This study considers the estimation problem for the parameter and reliability function of generalized half logistic distribution under Type II Doubly censored data. We use the Bayesian procedures (under asymmetric loss functions (Linex and general entropy) and symmetric loss function (squared-error)) to obtain the estimators of parameter and reliability function of generalized half logistic distribution .


Authors and Affiliations

  • Reza Azimi

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References

[1] R. Calabria, G. Pulcini, Point estimation under asymmetric loss functions for left-truncated exponential samples, Communications in Statistics Theory and Methods 25(1996) 585-600.

[2] R. Azimi, F. Yaghmaei, M. Babanezhad, Bayesian Estimation of Generalized Half Logistic Distribution Under Progressive Type-II Censored Data. Applied Mathematical Sciences 6(2012) 106, 5253-5261.

[3] R. Azimi, F. Yaghmaei, B. Fasihi, E-Bayesian estimation based on generalized half Logistic progressive type-II censored data. International Journal of Advanced Mathematical Sciences, 1 (2) (2013) 56-63. 60 International Journal of Scientific World

[4] S.H. Arora, G.C. Bihmani, M.N. Patel, Some Results on Maximum Likelihood Estimators of Parameters of Generalized Half Logistic Distribution under Type-I Progressive Censoring with Changing Failure Rate. International Journal Of Contemporary Mathematical Sciences 5(2010) (14), 685-698.

[5] Fernandez, A. J.(2000). Bayesian inference from type II censored Rayleigh data. Statistics and Probability Letters, 48, 393-399.

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[6] C. kim and S. song, Bayesian estimation of the parameters of the generalized exponential distribution from doubly censored samples, Stat Papers DOI 10.1007/s00362-008-0142-3.


How to Cite

Azimi, R. (2013). Bayesian estimation of generalized half logistic type II doubly censored data. International Journal of Scientific World, 1(3), 57-60. https://doi.org/10.14419/ijsw.v1i3.1252