MATH 4333 Application of Statistical Methods II
In this course students will learn strategies for solving practical problems using advance statistical methods. Student will learn to use a variety of software packages to fit ordinary regression models, logistic regression models, Poisson regression models, and time series models. Special emphasis is placed on the interpretation the software output, the identification of the best fitting model, and perform residual analysis to verify assumptions, as well as on the writing of comprehensive analysis report.