000			02800cam a2200337 a 4500
003			EG-GiCUC
005			20250223032448.0
008			191126s2019 ua d f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.18.03.M.Sc.2019.Om.P
100	0		_aOmar Hussein Sery Mahmoud
245	1	2	_aA practical procedure for detecting deviation from normality / _cOmar Hussein Sery Mahmoud ; Supervised Mahmoud Riad Mahmoud , Mohamed Abdelhamid Sabry
246	1	5	_aإسلوب عملى لإكتشاف البعد عن التوزيع الطبيعى
260			_aCairo : _bOmar Hussein Sery Mahmoud , _c2019
300			_a129 Leaves : _bcharts ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Mathematical Statistics
520			_aStandard statistical procedures often require data to be normally distributed and the results of these methods will be inadequate when the assumption of normality is not satisfied.Therefore, the postulation of normality is strictly required before proceeding most statistical analysis. Although a number of criteria have been available to assess the assumption of normality, these criteria do not have the same nature and power to diagnose the departures of data from normality. subsequently, the choice of appropriate test always remains an important key in the assessment of normality. Testing of normal distribution is very important since it is an underlying assumption of many statistical procedures such as t-tests, linear regression analysis, Analysis of Variance (ANOVA), etc .In this thesis and due to the importance of this subject and the wide spread development of normality tests, a comprehensive power comparison study of existing and new developed tests for normality is proposed. This study addresses the performance of 36 normality tests, for various sample sizes, considering several signi{uFB01}cance levels and for a number of symmetric and asymmetric distributions. Monte Carlo simulation was conducted to compare the performance of the test statistics in this study. The R programming software version 3.4.3 was used to carry out the study and the R package 2Power R3. General recommendations stemming from the analysis of the power of the selected tests will be considered at the end of the study
530			_aIssued also as CD
653		4	_aMonte Carlo simulation
653		4	_aNormal distribution
653		4	_aTests for normality
700	0		_aMahmoud Riad Mahmoud , _eSupervisor
700	0		_aMohamed Abdelhamid Sabry , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aShimaa _eCataloger
942			_2ddc _cTH
999			_c75478 _d75478