New families of distributions in the T-R{Y} framework / Rasha Elsayed Abdelatty Mohamed ; Supervised Mahmoud Riad Mahmoud , Rasha Mohamed Mandouh
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TextLanguage: English Publication details: Cairo : Rasha Elsayed Abdelatty Mohamed , 2019Description: 122 Leaves ; 30cmOther title: - T-R{Y} عائلات جديدة من التوزيعات فى الإطار [Added title page title]
- Issued also as CD
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Thesis
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.03.M.Sc.2019.Ra.N (Browse shelf(Opens below)) | Not for loan | 01010110079411000 | ||
CD - Rom
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.03.M.Sc.2019.Ra.N (Browse shelf(Opens below)) | 79411.CD | Not for loan | 01020110079411000 |
Thesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Mathematical Statistics
The T-RfYg framework of generating families of distributions was presented by Aljarrah et al. (2014). This framework was used by many authors to generate di erent families of distributions. It is used here to generate two new families of distributions, the T-GumbelfYg family and the T-Modi ed WeibullfYg family. Using di erent distributions for T, R and Y, the T-GumbelfFr echetg, the T-Modi ed weibullfLog-Logisticg, the Lomax-GumbelfFr echetg, the exponentiated Lomax-GumbelfFr echetg and the lomax-Modi edWeibullfLog-Logisticg are generated and studied. The parameters of these distributions are estimated using the MLE method. Some applications to real data sets are provided to illustrate the usefulness of the distributions compared with some other distributions
Issued also as CD
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