Comparison of multivariate statistical analysis methods
Abstract
In order to solve the problems more efficient, it is necessary for us to compare the statistical analysis methods. Firstly, this paper compares two common dimensionality reduction methods- principal component analysis and factor analysis. Then four discriminant analysis methods are compared in applicability. It is a try of helping to clearly choose the suitable statistical analysis methods.
Copyright © 2019 Wu Wenqi, Wang Jian. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
W. Wenqi, W. Jian, Comparison of multivariate statistical analysis methods, J. Math. Comput. Sci. 9 (2019), 702–706. https://doi.org/10.28919/jmcs/4212
BibTeX
@article{Wenqi2019,
author = {Wenqi, Wu and Jian, Wang},
title = {Comparison of multivariate statistical analysis methods},
journal = {J. Math. Comput. Sci.},
volume = {9},
year = {2019},
pages = {702--706},
doi = {10.28919/jmcs/4212}
}