عنوان المقالة: COMPARI NG MAXIMUM LIKELIHOO D AND LEAST SQUARES AND MOMENTS METHOD FOR T AS D ISTRIBUTION
سالمة عمر بالعيد علي | Salma Omar Bleed | 822
- نوع النشر
- مقال علمي
- المؤلفون بالعربي
- المؤلفون بالإنجليزي
- Salma Omar Bleed & Arwa Elsunousi Ali Abdelali
- الملخص الانجليزي
- This paperdeals with the newly developed distribution which called Transmuted Arcsine Distribution (TAS) for Salma and Arwa (2018). Classical estimation methods such as Maximum Likelihood (ML), Least Squares (LS) and the Moments Method (MOM) are used to estimate the unknown parameter and the reliability function. Moreover, the comparing between the classical methods are presented in terms of estimated quality using MSE of the estimator and MSE of the reliability function. Finally, three real data sets are analyzed to illustratesthe proposed methods.
- تاريخ النشر
- 31/12/2018
- الناشر
- Journal of Humanities and Applied Science (JHAS)
- رقم المجلد
- رقم العدد
- 31
- الصفحات
- 71-80
- رابط الملف
- تحميل (95 مرات التحميل)
- الكلمات المفتاحية
- ArcSine Distribution; Maximum Likelihood Method; Least Square Methods; Moments Method; Reliability Function; Estimated of Parameters