Discriminant analysis, including linear discriminant analysis (LDA) and quadratic (QDA), is a popular approach to classification problems. It well known that LDA suboptimal analyze heteroscedastic data, for which QDA would be an ideal tool. However, less helpful when the number of features in data set moderate or high, its variants often perform better due their robustness against dimensionalit...

Linear discriminant analysis for multiple groups is typically carried out using Fisher’s method. This method relies on the sample averages and covariance matrices computed from the different groups constituting the training sample. Since sample averages and covariance matrices are not robust, it is proposed to use robust estimators of location and covariance instead, yielding a robust version o...

This study provides a financial analysis of those firms that during the recent period of economic recession and financial market turmoil beginning in December 2007 and continuing to June 2009 either maintained or increased the total compensation packages for their chief executive officers and other executives in their firms. Specifically, this analysis will test for significant differences in t...