Comparing Maximum Likelihood and Least Squares and Moments Method for TAS Distribution
| المصدر: | مجلة العلوم الإنسانية والتطبيقية |
|---|---|
| الناشر: | الجامعة الأسمرية الإسلامية زليتن - كليتى الآداب والعلوم |
| المؤلف الرئيسي: | Bleed, Salma Omar (Author) |
| مؤلفين آخرين: | Abdelali, Arwa Elsunousi (Co-Author) |
| المجلد/العدد: | ع31 |
| محكمة: | نعم |
| الدولة: |
ليبيا |
| التاريخ الميلادي: |
2018
|
| الشهر: | ديسمبر |
| الصفحات: | 71 - 80 |
| رقم MD: | 1260985 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | HumanIndex |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Arcsine Distribution | Maximum Likelihood Method | Least Square Methods | Moments Method | Reliability Function | Estimated of Parameters
|
| رابط المحتوى: |
| المستخلص: |
This paper deals 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 illustrates the proposed methods. |
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