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A Statistical inference for some ANOVA models under different assumptions of the error term / Tamer Sayed Hussein Ibrahim ; Supervised Magdy Sayed Mostafa , Ahmed Amin Elsheikh

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Tamer Sayed Hussein Ibrahim , 2015Description: 94 Leaves ; 30cmOther title:
  • الاستدلال الاحصائي لبعض نماذج تحليل التباين تحت فروض مختلفة للخطأ العشوائي [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics Summary: The 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
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.04.M.Sc.2015.Ta.S (Browse shelf(Opens below)) Not for loan 01010110069378000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.04.M.Sc.2015.Ta.S (Browse shelf(Opens below)) 69378.CD Not for loan 01020110069378000

Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics

The 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

Issued also as CD

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