000			02040cam a2200337 a 4500
003			EG-GiCUC
005			20250223031526.0
008			160629s2015 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.2015.Ta.S
100	0		_aTamer Sayed Hussein Ibrahim
245	1	2	_aA Statistical inference for some ANOVA models under different assumptions of the error term / _cTamer Sayed Hussein Ibrahim ; Supervised Magdy Sayed Mostafa , Ahmed Amin Elsheikh
246	1	5	_aالاستدلال الاحصائي لبعض نماذج تحليل التباين تحت فروض مختلفة للخطأ العشوائي
260			_aCairo : _bTamer Sayed Hussein Ibrahim , _c2015
300			_a94 Leaves ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics
520			_aThe analysis of variance (anova) is the most popular statistical method among educational researchers. however, it is well known that the effect of using an f test when the data are non-normal or heterogeneous is a distortion in the rates of type i or type ii errors . the literature showed that the comparison of the means of several samples from populations with unequal variances has been the subject of much discussion . the combined heterogeneity and non-normality problem makes the situation more complicated in its application. it is known that a slight departure from normality has a great effect on power , it is worthwhile to develop efficient alternatives for dealing with this problem
530			_aIssued also as CD
653		4	_aSkew distributions
653		4	_aTrimmed methods
653		4	_aUntrimmed methods
700	0		_aAhmed Amin Elsheikh , _eSupervisor
700	0		_aMagdy Sayed Mostafa , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aAml _eCataloger
905			_aNazla _eRevisor
942			_2ddc _cTH
999			_c57060 _d57060