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040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aPh.D
099 _aCai01.18.03.Ph.D.2014.Ma.O
100 0 _aMarwa Abdallah Abdelghafar
245 1 0 _aOn estimation of the exponential type distributions' Parameters based on grouped data /
_cMarwa Abdallah Abdelghafar ; Supervised Hegazy Zaher , Elsayed Ahmed Elsherpieny , Amal Soliman Hassan
246 1 5 _aحول تقدير معالم التوزيعات ذات الطابع الأسى اعتمادا على البيانات المبوبة
260 _aCairo :
_bMarwa Abdallah Abdelghafar ,
_c2014
300 _a185 Leaves :
_bcharts ;
_c30cm
502 _aThesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics
520 _aIn various fields of science such as biology, engineering and medicine it is not possible to continuously observe or inspect the testing process and obtain the measurements of a statistical experiment exactly, but it is possible to classify them into intervals or disjoint subsets. So at this time, only grouped data will be suitable to be used.This thesis focuses on estimating the unknown parameters of exponentiated Fréchet and exponentiated inverted Weibull distributions based on grouped data with equi and unequi-spaced grouping. Comparison study between estimators made with respect to their biases and mean square errors using extensive simulation techniques. In addition the asymptotic optimal group limits and asymptotic relative efficiencies for maximum likelihood estimators of the unknown parameters with equi- and unequi-spaced grouping for both distributions are obtained. Furthermore, the estimation problem for the unknown parameters for exponentiated inverted Weibull distribution based on grouped and censored sample is considered. An iterative procedure is used to obtain the maximum likelihood and asymptotic confidence interval estimates numerically. To explain how the exponentiated inverted Weibull fits a set of real data better than other distributions an illustrative example is presented.
530 _aIssued also as CD
653 4 _aEstimation
653 4 _aGrouped data
653 4 _aMLE
700 0 _aAmal Soliman Hassan ,
_eSupervisor
700 0 _aElsayed Ahmed Elsherpieny ,
_eSupervisor
700 0 _aHegazy Zaher ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aSoheir
_eCataloger
942 _2ddc
_cTH
999 _c50670
_d50670