000			02204cam a2200337 a 4500
003			EG-GiCUC
005			20250223031155.0
008			150316s2014 ua 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.Mo.E
100	0		_aMohamed Abdirahman Omar
245	1	0	_aEstimating parameters in some ANCOVA Models with non- normal error distributions / _cMohamed Abdirahman Omar ; Supervised Ahmed Amin El-sheikh , Naglaa AbdelMoneim Morad
246	1	5	_aتقدير المعالم لبعض نماذج التغاير مع توزيعات الخطأ الغير معتدلة
260			_aCairo : _bMohamed Abdirahman Omar , _c2014
300			_a98 P. ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics
520			_aAccording to the results of the simulation study the following points will be introduced: 1) The model (3.14) just valid for and 2 while model (3.1) is valid for any positive integer of . 2) For , and the estimates of the parameters of model (3.1) is better than those of model (3.14), compared to three different values for. 3) For , and the estimates of the parameters of model (3.1) is better than those of model (3.14), compared to three different values for . 4) For , and the estimates of the parameters of model (3.14) is better than those of model (3.1), compared to three different values for . 5) As sample size increase the Bias of the estimates of model (3.14) is better than model (3.1), while the MSE of the estimates of model (3.1) has better than model (3.14). 6) In model (3.14) the maximum value of r is 2, so in all cases the value of Bias and MSE for r=4 not applicable.
530			_aIssued also as CD
653		4	_aANCOVA
653		4	_aEstimating parameters
653		4	_aNormal error distributions
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			_c49861 _d49861