Two-parameter natural discrete lindley distribution, with applications to reliability theory / Mohamed Bahaa Eldin Moamen ; Supervised Abdulhadi N. Ahmed , Ahmed Z. Afify
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TextLanguage: English Publication details: Cairo : Mohamed Bahaa Eldin Moamen , 2019Description: 70 Leaves : charts ; 30cmOther title: - توز{u٠٦أأ}ع ليندلى الطبيعى المتقطع ذوالمعلمتين مع تطبيقات فى نظرية الموثوقية [Added title page title]
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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.Mo.T (Browse shelf(Opens below)) | Not for loan | 01010110080995000 | ||
CD - Rom
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.03.M.Sc.2019.Mo.T (Browse shelf(Opens below)) | 80995.CD | Not for loan | 01020110080995000 |
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| Cai01.18.03.M.Sc.2019.Em.P Parameters estimation for mixture distributions from grouped data / | Cai01.18.03.M.Sc.2019.Ma.W Weighted pareto distribution and related distributions / | Cai01.18.03.M.Sc.2019.Ma.W Weighted pareto distribution and related distributions / | Cai01.18.03.M.Sc.2019.Mo.T Two-parameter natural discrete lindley distribution, with applications to reliability theory / | Cai01.18.03.M.Sc.2019.Mo.T Two-parameter natural discrete lindley distribution, with applications to reliability theory / | Cai01.18.03.M.Sc.2019.Om.P A practical procedure for detecting deviation from normality / | Cai01.18.03.M.Sc.2019.Om.P A practical procedure for detecting deviation from normality / |
Thesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Mathematical Statistics
In this thesis, apart from discretization techniques, we propose and study a new natural discrete analog of the Lindley distribution as a mixture of geometric and negative binomial distributions. The proposed model extends some recent discrete Lindley distributions like the discrete Lindley of Bakouch et al. (2014), the two-parameter discrete Lindley of Hussain et al. (2016).The new distribution has many interesting properties which make it superior to many other discrete distributions, particularly in analyzing over dispersed count data. Practical implications and future directions are also discussed at the conclusion of the study
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