Feasible criterion for designs of ANOVA models /
Hadiya Hasan Matrood Albdairi
Feasible criterion for designs of ANOVA models / المعايير الملائمة لتصميم نماذج تحليل التباين Hadiya Hasan Matrood Albdairi ; Supervised Elhoussainy Abdelbar Rady , Ahmed Amin Elsheikh , Abbas Lafta Kneher - Cairo : Hadiya Hasan Matrood Albdairi , 2015 - 89 Leaves ; 30cm
Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics
The aim of this study is to compare between two techniques for judging the feasibility of the ANOVA models. The first technique of Wang, et al. (2012) depends on linear transformation of the model while the second technique of wang, et al. (2014) depends on matrix image. The study used two matlab programs based on two algorithms of both techniques, three selected ANOVA models were used to judge the feasibility through the two techniques. The selected models are chosen with different levels, factors, and runs in order to judge the feasibility of the two techniques. The execution time, the number of steps of both techniques, and the complexity of the two techniques were the criteria for judging the efficiency of both techniques. The second technique of Wang, et al. (2014) for judging the feasibility of the ANOVA models was the better one for its fast, easy and simple performance
ANOVA models Criteria Feasible criterion
Feasible criterion for designs of ANOVA models / المعايير الملائمة لتصميم نماذج تحليل التباين Hadiya Hasan Matrood Albdairi ; Supervised Elhoussainy Abdelbar Rady , Ahmed Amin Elsheikh , Abbas Lafta Kneher - Cairo : Hadiya Hasan Matrood Albdairi , 2015 - 89 Leaves ; 30cm
Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics
The aim of this study is to compare between two techniques for judging the feasibility of the ANOVA models. The first technique of Wang, et al. (2012) depends on linear transformation of the model while the second technique of wang, et al. (2014) depends on matrix image. The study used two matlab programs based on two algorithms of both techniques, three selected ANOVA models were used to judge the feasibility through the two techniques. The selected models are chosen with different levels, factors, and runs in order to judge the feasibility of the two techniques. The execution time, the number of steps of both techniques, and the complexity of the two techniques were the criteria for judging the efficiency of both techniques. The second technique of Wang, et al. (2014) for judging the feasibility of the ANOVA models was the better one for its fast, easy and simple performance
ANOVA models Criteria Feasible criterion