A new univariate set of Gamma distributions / Asmaa Abdel-Hakim Ibrahim Mohamed ; Supervised Abdelhadi N. Ahmed
Material type: TextLanguage: English Publication details: Cairo : Asmaa Abdelhakim Ibrahim Mohamed , 2017Description: 60 Leaves : charts ; 30cmOther title:- عائلات أحادية جديدة مستمدة من توزيعات جاما [Added title page title]
- Issued also as CD
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.03.M.Sc.2017.As.N (Browse shelf(Opens below)) | Not for loan | 01010110075830000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.03.M.Sc.2017.As.N (Browse shelf(Opens below)) | 75830.CD | Not for loan | 01020110075830000 |
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Cai01.18.03.M.Sc.2016.Mo.E Estimation problems for stress strength model through record values / | Cai01.18.03.M.Sc.2016.Mo.E Estimation problems for stress strength model through record values / | Cai01.18.03.M.Sc.2017.As.N A new univariate set of Gamma distributions / | Cai01.18.03.M.Sc.2017.As.N A new univariate set of Gamma distributions / | Cai01.18.03.M.Sc.2017.Eh.N A new lifetime distribution based on finite mixtures / | Cai01.18.03.M.Sc.2017.Eh.N A new lifetime distribution based on finite mixtures / | Cai01.18.03.M.Sc.2017.En.L A look at some methods of characterizing probability distributions / |
Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics
The main aims of this thesis are as follows: Using the log-gamma generated approach for introducing a new distribution which is called log- gamma Rayleigh distribution. Expansion for the probability density function is obtained. Many statistical properties of proposed distribution are introduced such as: hazard rate function, survival function, cumulative hazard rate function, quantile function, order statistics of the distribution, r- th moment, moment generating function, Rényi and Shannon entropies and maximum likelihood estimates for the distribution parameters are obtained. Finally, two applications are considered to illustrate the new theoretical results and the behavior of the log-gamma-Rayleigh distribution
Issued also as CD
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