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003			EG-GiCUC
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008			191019s2019 ua d f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.18.03.M.Sc.2019.Eh.P
100	0		_aEhab Mohamed Ali Mohamed Almetwally
245	1	0	_aParameter estimation of bivariate models under some censoring schemes / _cEhab Mohamed Ali Mohamed Almetwally ; Supervised Elsayed A. Elsherpieny , Hiba Zeyada Muhammed
246	1	5	_aتقدير معالم النماذج الثنائية في إطار بعض أساليب المراقبة
260			_aCairo : _bEhab Mohamed Ali Mohamed Almetwally , _c2019
300			_a75 Leaves : _bcharts ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Mathematical Statistics
520			_aIn this thesis, the Farlie-Gumbel-Morgenstern bivariate Weibull distribution (FGMBW) has been obtained. Its statistical properties (product moment, moment generation function, reliability function and hazard rate function) have been discussed. Different methods for parameter estimation of the FGMBW distribution have been discussed, these methods are maximum likelihood estimation, inference functions for margins and semi-parametric method. Two different methods for computing the confidence interval for parameters have been discussed, which are asymptotic confidence intervals and bootstrap confidence intervals. Finally, parameter estimation for the FGMBW distribution under progressive Type-II censoring samples have been introduced. In addition, a two real data sets have been introduced and analyzed to examine the model. A simulation study have been conducted to compare the preferences between estimation methods and censoring schemes
530			_aIssued also as CD
653		4	_aBootstrap
653		4	_aProgressive Type-II censoring samples
653		4	_aWeibull distribution
700	0		_aElsayed A. Elsherpieny , _eSupervisor
700	0		_aHiba Zeyada Muhammed , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aAsmaa _eCataloger
905			_aNazla _eRevisor
942			_2ddc _cTH
999			_c74606 _d74606