02084cam a2200253 a 4500003000900000005001700009008004100026040002800067041000800095100004000103245017300143246011500316260005900431300003400490502013300524520094900657530002201606653001601628653004401644653002701688700004201715700004001757856003301797EG-GiCUC20250223032420.0191019s2019    ua d   f m    000 0 eng d  aEG-GiCUCbengcEG-GiCUC0 aeng0 aEhab Mohamed Ali Mohamed Almetwally10aParameter estimation of bivariate models under some censoring schemes / cEhab Mohamed Ali Mohamed Almetwally ; Supervised Elsayed A. Elsherpieny , Hiba Zeyada Muhammed15aتقدير معالم النماذج الثنائية في إطار بعض أساليب المراقبة  aCairo : bEhab Mohamed Ali Mohamed Almetwally , c2019  a75 Leaves : bcharts ; c30cm  aThesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Mathematical Statistics  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  aIssued also as CD 4aBootstrap   4aProgressive Type-II censoring samples   4aWeibull distribution  0 aElsayed A. Elsherpieny , eSupervisor0 aHiba Zeyada Muhammed , eSupervisor  uhttp://172.23.153.220/th.pdf