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|3 10.21608/jsfc.2019.246936
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|a eng
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|b مصر
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|9 636866
|a El-Kelany, Ghada A
|e Author
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|a Comparison of Direct L-Moments, L-Moments and ML Estimation Methods for Weibull Distribution with Type-I Censoring
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|b جامعة الأزهر - كلية التجارة
|c 2019
|g يونية
|m 1441
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|a 45 - 70
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|a بحوث ومقالات
|b Article
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|b This paper presents a comparison of three different methods, Direct Lmoments, L-moments via partial probability-weighted moments (PPWM) and maximum likelihood (ML) methods, respectively, to estimate the two parameters of Weibull distribution with Type-I censored data. These methods are compared in terms of estimate of the unknown parameters, relative bias and root of mean square error (RMSE) using Monte Carlo simulation to select the best method. Also, a real data set is considered to achieve the results.
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|a العلوم الإحصائية
|a البيانات الخاضعة للرقابة
|a اللحظات المباشرة
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692 |
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|b Censored Data
|b Estimation
|b Direct L-Moments
|b L-Moments
|b Maximum Likelihood
|b Weibull Distribution
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700 |
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|9 690621
|a Ibrahim, Hager A.
|e Co-Author
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|4 الاقتصاد
|4 إدارة الأعمال
|6 Economics
|6 Management
|c 017
|e Scientific Journal of the Faculty of Commerce
|f Al-Maǧallah al-ʿilmiyyaẗ li Qitāʿ Kulliyyāẗ al-tiǧāraẗ bi Ǧāmiʿaẗ al-Azhar
|l 022
|m ع22
|o 0797
|s المجلة العلمية لقطاع كليات التجارة
|v 000
|x 2636-3674
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856 |
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|u 0797-000-022-017.pdf
|n https://jsfc.journals.ekb.eg/article_246936.html
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|d y
|p y
|q n
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|a EcoLink
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|c 1301228
|d 1301228
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