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:: Volume 12, Issue 2 (3-2019) ::
JSS 2019, 12(2): 351-364 Back to browse issues page
The Two-parameter Weighted Skew Laplace Distribution
Peyman Amiri Domari , Mehrdad Naderi * , Ahad Jamalizadeh
Abstract:   (7329 Views)

In order to construct the asymmetric models and analyzing data set with asymmetric properties, an useful approach is the weighted model. In this paper, a new class of skew-Laplace distributions is introduced by considering a two-parameter weight function which is appropriate to asymmetric and multimodal data sets. Also, some properties of the new distribution namely skewness and kurtosis coefficients, moment generating function, etc are studied. Finally, The practical utility of the methodology is illustrated through a real data collection.

Keywords: Alpha-beta skew-Laplace distribution, Maximum likelihood estimation, Moment generating function, Skew Laplace distribution.
Full-Text [PDF 208 kb]   (2507 Downloads)    
Type of Study: Research | Subject: Statistical Inference
Received: 2016/08/4 | Accepted: 2018/05/16 | Published: 2018/05/20
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Amiri Domari P, Naderi M, Jamalizadeh A. The Two-parameter Weighted Skew Laplace Distribution. JSS 2019; 12 (2) :351-364
URL: http://jss.irstat.ir/article-1-493-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 12, Issue 2 (3-2019) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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