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:: Volume 6, Issue 1 (8-2012) ::
JSS 2012, 6(1): 83-98 Back to browse issues page
Bayesian Estimation of the Parameters of Skew Normal Distribution
Mohammad Gholami Fesharaki , Anoshirvan Kazemnejad * , Farid Zayeri
Abstract:   (16972 Views)
Skew Normal distribution is important in analyzing non-normal data. The probability density function of skew Normal distribution contains integral function which tends researchers to some problems. Because of this problem, in this paper a simpler Bayesian approach using conditioning method is proposed to estimate the parameters of skew Normal distribution. Then the accuracy of this metrology is compared with ordinary Bayesian method in a simulation study.
Keywords: Bayesian Analysis, Conditioning Method, Estimation, Skew Normal Distribution.
Full-Text [PDF 549 kb]   (3417 Downloads)    
Type of Study: Applied | Subject: Biostatistics
Received: 2013/02/4 | Accepted: 2013/08/4 | Published: 2013/08/4
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Gholami Fesharaki M, Kazemnejad A, Zayeri F. Bayesian Estimation of the Parameters of Skew Normal Distribution. JSS 2012; 6 (1) :83-98
URL: http://jss.irstat.ir/article-1-183-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 6, Issue 1 (8-2012) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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