کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11593036 | 1341717 | 2019 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The Skew-Reflected-Gompertz distribution for analyzing symmetric and asymmetric data
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: The Skew-Reflected-Gompertz distribution for analyzing symmetric and asymmetric data The Skew-Reflected-Gompertz distribution for analyzing symmetric and asymmetric data](/preview/png/11593036.png)
چکیده انگلیسی
In this work, we have defined a new family of skew distribution: the Skew-Reflected-Gompertz. We have also derived some of its probabilistic and inferential properties. The maximum likelihood estimates of the proposed distribution parameters are obtained via an EM-algorithm, and performances of the proposed model and its estimates are shown via simulation studies as well as real applications. Three real datasets are also used to illustrate the model performance which can compete against some well-known skew distributions frequently used in applications.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 349, 15 March 2019, Pages 132-141
Journal: Journal of Computational and Applied Mathematics - Volume 349, 15 March 2019, Pages 132-141
نویسندگان
Akram Hoseinzadeh, Mohsen Maleki, Zahra Khodadadi, Javier E. Contreras-Reyes,