MATH 6365 Statistical Methods I
The principle objective of this course is to teach students the application of regression analysis. The methods of least-squares and maximum likelihood will be reviewed in detail using matrix algebra. Diagnostic methods to assess the fit of the model, as well as strategies to correct inadequacies, will be presented. Also, regression with indicator variables, polynomial regression, semi-parametric and parametric regression, nonlinear regression and generalized linear models will be reviewed. Analysis will be performed using multiple software packages.