DASC 535 - Advanced Statistical Methods II

3 Credit Hours
3 Lecture Hours
0 Laboratory Hours

Advanced topics in regression: regression with categorical variables, logistic regression, multiple logistic regression, Poisson’s log-linear regression, variable screening methods and regression pitfalls, residual analysis and special regression models. Least squares and interpolation methods for modeling patterns, time series and data smoothing, multiple comparison methods beyond ANOVA, survival analysis, and advanced topics chosen from Bayesian Statistics. Real data and statistical packages will be used extensively.

Prerequisites: DASC 531 or STAT 375.