000			02627cam a2200337 a 4500
003			EG-GiCUC
005			20250223031248.0
008			150721s2014 ua d f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.18.04.M.Sc.2014.Al.E
100	0		_aAlaa Sayed Shehata
245	1	0	_aEstimation of some distribution parameters with incomplete data / _cAlaa Sayed Shehata ; Supervised Ahmed Amin Elsheikh , Naglaa Abdelmoneim Morad
246	1	5	_aتقدير معالم بعض التوزيعات ببيانات غير مكتملة
260			_aCairo : _bAlaa Sayed Shehata , _c2014
300			_a92 Leaves : _bcharts ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics
520			_aThere are small differences between mean square error in case of the three methods (maximum likelihood method, listwise deletion method and mean imputation). The difficulty of obtaining the values of estimators (k_1,k_2,k) using maximum likelihood method, in this method, it is replaced missing data by zero and because these estimators consist of log (variable), log (zero) is not defined. But it is possible to find a solution to this problem by removing the row which consists of missing data i.e. replacing maximum likelihood method by listwise deletion method. If you are interested in parameter k, It is better to use mean imputation method. If you are interested in parameter k, It is better to use listwise deletion method. When percentage of missing data increases, for parameter k, It is better to use mean imputation or maximum likelihood method. For parameter k, It is better to use listwise deletion method. When sample size increases, for parameter k, It is better to use mean imputation method. For parameter k, It is better to use listwise deletion method. For Geometric distribution: There are small differences between mean square error in case of three methods (maximum likelihood method, listwise deletion method and mean imputation). It is better to use mean imputation method i.e the mean square error of parameters is the smallest using mean imputation method
530			_aIssued also as CD
653		4	_aDistribution parameters
653		4	_aEstimation
653		4	_aIncomplete data
700	0		_aAhmed Amin Elsheikh , _eSupervisor
700	0		_aNaglaa Abdelmoneim Morad , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSoheir _eCataloger
942			_2ddc _cTH
999			_c51658 _d51658