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• W2893525546 abstract "The main focus of this study is the multivariate analysis of Electroencephalogram data which included multivariate analysis of variance. The multivariate model diagnostics comprise checking number of assumptions of MANOVA model such as multivariate normality, homogeneity of covariance matrices. In this paper, the model X=BC+E is used and estimate the different parameters. Also by using a general form, H0: GBF=0 to test the different types of null hypothesis. Here G and F is known matrices and obtained from the hypothesis. This study gives mathematical ideas from multivariate statistical analysis to find a solution or a good approximation of a complex scientific problem." @default.
• W2893525546 created "2018-10-05" @default.
• W2893525546 creator A5066136931 @default.
• W2893525546 date "2018-01-01" @default.
• W2893525546 modified "2023-10-16" @default.
• W2893525546 title "Multivariate Analysis of EEG Data: Some Aspects of Diagnostic of MANOVA Model" @default.
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• W2893525546 doi "https://doi.org/10.18488/journal.24.2018.71.1.17" @default.
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