Quantitative Models for Statistical and Machine Learning

Catalog description

Credits 3. 3 Lecture Hours. Principles of parameter estimation, confidence interval, p-values, hypothesis testing, design of experiments, model building, multiple regression, ANOVA, statistical quality control, Shewhart charts, CUSUM, EWMA, and residual-based control charts. Prerequisite: Grade of C or better DAEN 210 ; junior senior classification.