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JSRI 2018, 15(1): 119-146 Back to browse issues page
Poisson-Beta Exponential Distribution: Properties and Applications
Eisa Mahmoudi *1, Hossein Zamani2, RahmatSadat Meshkat3
1- Yazd University , emahmoudi@yazd.ac.ir
2- Hormozgan University
3- Yazd University
Abstract:   (2014 Views)
A new generalized version of the mixed Poisson distribution, called the Poisson-beta exponential (PBE) distribution, is obtained by mixing the Poisson and the beta exponential (BE) distributions. Estimation of the parameters, using the method of moments and maximum likelihood estimators, is discussed. We show the consistency of the new model parameters using simulation study. Examples are given for fitting the PBE distribution to data, and the fit model is compared with that obtained using other distributions.
Keywords: Beta exponential distribution, mixed distributions, Poisson mixtures, truncated distributions, weighted distributions
Full-Text [PDF 777 kb]   (1475 Downloads)    
Type of Study: Research | Subject: General
Received: 2018/02/16 | Accepted: 2018/11/14 | Published: 2019/03/3
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Mahmoudi E, Zamani H, Meshkat R. Poisson-Beta Exponential Distribution: Properties and Applications. JSRI 2018; 15 (1) :119-146
URL: http://jsri.srtc.ac.ir/article-1-293-en.html

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Volume 15, Issue 1 (9-2018) Back to browse issues page
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