Building Discriminate Function-Review

• Published in: المجلة العراقية للعلوم الاحصائية Vol. 17; no. 1; pp. 110 - 127
• Main Authors: Nada Nazar Mohammed, Najlaa Saad, Zaid Tariq Salah
• Format: Journal Article
• Language: Arabic
• Published: College of Computer Science and Mathematics, University of Mosul 01-06-2020
• ISSN: 1680-855X; 2664-2956
• DOI: 10.33899/iqjoss.2020.165449

Abstract
Discriminant Analysis has been widely used to classify data into subgroups based on certain criteria. The classification process depends on choosing any variable that shows a statistical significance, then use the selected variables to build the discriminant function. In order to investigate the statistical significance of the variables in our data, we used Roy-Bose procedure for finding confidence intervals and t-test, which is one of the popular variable-selection methods in discriminant analysis. In addition, some other variable-selection techniques has been employed, namely, Forward-Selection, Backward-Selection, and Stepwise-Selection methods, which are usually used to select variables in linear regression analysis. Furthermore, a principal component analysis has been carried out for the purpose of choosing the variables with high statistical significance. The selected variables have been used to build the discriminant function.