Multivariate Analysis of EEG Data: Some Aspects of Diagnostic of MANOVA Model

Authors

  • Md Rokonuzzaman Associate Professor Department of Statistics University of Chittagong Chittagong-4331 Bangladesh

DOI:

https://doi.org/10.18488/journal.24.2018.71.1.17

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.

Keywords:

Electroencephalogram, Fractal dimension, MANOVA

Abstract Video

Published

2018-09-03

How to Cite

Rokonuzzaman, M. . (2018). Multivariate Analysis of EEG Data: Some Aspects of Diagnostic of MANOVA Model. International Journal of Mathematical Research, 7(1), 1–17. https://doi.org/10.18488/journal.24.2018.71.1.17

Issue

Section

Articles