The Generalized Old Log-Logistic Log-Logistic GOLL-LL Distribution
| المصدر: | مجلة الدراسات والبحوث التجارية |
|---|---|
| الناشر: | جامعة بنها - كلية التجارة |
| المؤلف الرئيسي: | Nofal, Zohdy M. (Author) |
| مؤلفين آخرين: | El Gebaly, Yehia M. (Co-Author), Youseif, Nora M. (Co-Author) |
| المجلد/العدد: | س40, ع4 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2020
|
| الصفحات: | 757 - 780 |
| ISSN: |
1110-1547 |
| رقم MD: | 1186419 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Log Logistic | Maximum Likelihood Estimators | Cramer-Von Mises Estimators | Ordinary Least Squares | Weighted Least-Squares | Generalized Odd Log Logistic G. Family | Order Statistic
|
| رابط المحتوى: |
عدد مرات التحميل
3
| المستخلص: |
This paper introduces a new three-parameter lifetime model called the generalized odd log-logistic log-logistic “GOLL-LL” Distribution. Various of its structural properties including ordinary and incomplete moments, quantile and generating functions, probability weighted moments and order statistics are derived. The new model has the advantage of being capable of modeling various shapes of aging and failure criteria. We briefly describe four different frequentist approaches, namely, maximum likelihood estimators, Cramer-von Mises estimators, ordinary least squares estimators and weighted least-squares estimators. A numerical simulation and a real data application are performed to compare the performances of the estimators for both small and large samples. |
|---|---|
| ISSN: |
1110-1547 |
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