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|3 10.33762/0672-012-047-007
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|a eng
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|b العراق
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|9 210675
|a حسن، ضوية سلمان
|g Hassan, Dhwyia S.
|e مؤلف
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| 245 |
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|a Constructing a New Weighted Exponential Pareto Distribution with Estimation
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| 246 |
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|a بناء نموذج احتمالي موزون مضاعف موزون مع تطبيق عملي
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| 260 |
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|b جامعة البصرة - كلية الإدارة والاقتصاد
|c 2017
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| 300 |
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|a 147 - 155
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| 336 |
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|a بحوث ومقالات
|b Article
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|b This paper deals with constructing a new probability distribution used for length biased data, which can be employed in development of proper model that use for data come for population which are size biased distribution, here we use the method to adjust the original distribution function from real data, and expectation of those data. The constructed distribution is called weighted exponential - Pareto (WEPD). The researcher work on construction the (p.d.f), C.D.F of this distribution, also deriving the general form of non-central and central moment (rth moments about origin, and about μ), also the derivation of C.D.F need integration by incomplete Gamma formula. The rth central moment formula is necessary for finding coefficient of Skewness and Kurtosis, which are used as a tool of some numerical method applied maximum likelihood estimators, and proposed estimators based on Cran's estimators. The last method is L - moment estimators, the comparison has been done through simulation using different values of sample size (n = 40,80,100,150), the estimators were compared using MSE, MAPE, all the results are explained in tables.
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| 653 |
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|a البيانات المتحيزة
|a التوزيع السكانى
|a الدلالات الاحصائية
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| 692 |
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|b Biased Sized Distribution
|b WEPD
|b Incomplete Gamma
|b Maximum Likelihood
|b Maximum Entropy
|b L-Moment
|b Cran's Estimator
|b MSE
|b MAPE
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| 773 |
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|4 الاقتصاد
|6 Economics
|c 007
|e Economic Sciences
|f Al-ʻulūm al-iqtiṣādiyyaẗ
|l 047
|m مج12, ع47
|o 0672
|s العلوم الاقتصادية
|v 012
|x 1814-9669
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| 700 |
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|a نصر الله، مهدي وهاب نعمة
|g Naser Allah, Mahdi Wahab Neama
|e م. مشارك
|9 559193
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| 856 |
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|u 0672-012-047-007.pdf
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|d y
|p y
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|a EcoLink
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|c 949140
|d 949140
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