STAT-S 431 Applied Linear Models I (3 cr)

Part I of a two-semester sequence on linear models. This part presents the analysis of simple and multiple linear regression in the presence of simple and complex regressors. In addition, transformations, regression diagnostics, influence analysis, and regression shrinkage methods are introduced.

• Offered Fall Semesters.
• Prerequisite: MATH-M 466

STAT-S 432 Applied Linear Models II (3 cr)

Part II of a two-semester sequence on linear models, emphasizing linear regression and the analysis of variance, including topics from the design of experiments and culminating in the general linear model.

• Offered Spring Semesters
• Prerequisite: STAT-S 431

STAT-S 531 Applied Linear Models I (3 cr)

Part I of a two-semester sequence on linear models. This part presents the analysis of simple and multiple linear regression in the presence of simple and complex regressors. In addition, transformations, regression diagnostics, influence analysis, and regression shrinkage methods are introduced.

• Offered Fall Semesters

STAT-S 532 Applied Linear Models II (3 cr)

Part II of a two-semester sequence on linear models, emphasizing linear regression and the analysis of variance, including topics from the design of experiments and culminating in the general linear model.

• Offered Spring Semesters
• Prerequisite: STAT-S 531