Regression Analysis and Design of Experiments

Catalog description

Theory and Application of Regression Analysis and Design of Experiments to build models and optimize process and product parameters. This is an elective course for the baccalaureate students in the Department of Industrial and Manufacturing Engineering. It exposes students to the two important statistical tools which are regression analysis and design of experiments. Topics include simple and multiple regression analysis (matrix formulation), diagnostics, prediction, Analysis of Variance, Blocking, and Fractional Factorial designs. Students taking this course should be familiar basic matrix computations and with the following topics taught in the second course in probability and statistics offered in the department: properties of point estimators, sampling distributions, and test of hypotheses.