| Catalog Content |
Introduction: Organization of data set, Descriptive statistics, Graphical techniques; Multivariate Normal Distribution: Properties, Maximum likelihood estimation; Principal Component Analysis: Dimension reduction, Steps to be followed, Factor analysis; Factor Rotation and Factor Scores: Application; Logistic Regression and Classification: Introduction, Logit model, Binary logistic regression, Multiple logistic regression. |
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