Bayesian Estimations of Mixed Exponential Distribution with Type-I Censored Data

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Abstract:

Mixed exponential distribution is a very important statistical model in life data analysis. In this paper, we give Bayesian estimations of mixed exponential distribution with Type-Ⅰ censored data by using conjugate prior distribution based on square loss function. And we prove that the Bayesian estimations are admissible.

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Periodical:

Advanced Materials Research (Volumes 753-755)

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2887-2891

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Online since:

August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] G. Prakash, Bayes Estimation for a Mixture of the Weibull Distributions, International Journal Of Mathematics and Scientific Computing(ISSN: 2231-5330), 2(1): 34-38, (2012).

Google Scholar

[2] Wei'an Yan, Baowei Song, Zhaoyong Mao, Bayesian estimation for generalized exponential distribution under type-Ⅱ doubly censored scheme, Computer Engineering and Applications, 48(1): 234-236, (2012).

Google Scholar

[3] Liping Zhu, Yiqiang Lu and Shisong Mao, Estimation of Parameters of Mixed Exponential Distribution, Chinese Journal of Applied Probability and Statistics, 22(2): 137-150, (2006).

Google Scholar

[4] Yuzhu Tian, Le An and Ping Chen, Bayesian Estimation for a Finite Mixed Exponential Distribution, Journal of Gansu Sciences, 20(3): 16-19, (2008).

Google Scholar

[5] Shisong Mao, Bayesian Statistics, China Statistics Press, 1999. (In Chinese).

Google Scholar

[6] Shisong Mao, Jinglong Wang and Xiaolong Pu, Advanced Mathematical Statistics, Higher Education Press, 1998. (In Chinese).

Google Scholar

[7] Jincheng Fan and Kefa Wu, Statistical Inference Guide, Science Press, 2001. (In Chinese).

Google Scholar