أعضاء هيئة التدريس - جامعة بنها
Mixture of Exponentiated Frechet Distribution
Life Science Journal • 2014
معلومات البحث
المؤلفون
M.M. Badr and A.I. Shawky
الكلمات المفتاحية
Exponentiated Frechet distribution (EFD); Maximum likelihood estimation; Bayes estimation;
quadratic loss function; LINEX loss function.
المجلة العلمية
Life Science Journal
الناشر
Not Available
المجلد
11
العدد
3
الصفحات
392-404
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
Abstract: In this paper, we will discuss the problem of estimating the parameters, reliability and failure rate
functions of the finite mixture of two components from exponentiated Frechet distributions (MEFD). The maximum
likelihood estimation (MLE) and Bayes methods of estimation are used. An approximation form due to Lindley
(1980) is used for deriving the Bayes estimates under the squared error loss (quadratic loss) and LINEX loss
functions. Through Monte Carlo simulation, the mean square errors (MSE'S) of the estimators are computed and
compared between them.
functions of the finite mixture of two components from exponentiated Frechet distributions (MEFD). The maximum
likelihood estimation (MLE) and Bayes methods of estimation are used. An approximation form due to Lindley
(1980) is used for deriving the Bayes estimates under the squared error loss (quadratic loss) and LINEX loss
functions. Through Monte Carlo simulation, the mean square errors (MSE'S) of the estimators are computed and
compared between them.