15.074J -- Statistical Reasoning and Data Modeling
Course Description: Designed for students who have an acquaintance with statistics and want exposure to a wider range of topics and examples such as statistical computing and data analysis. Topics include advanced regression modeling: regression diagnostics, variable selection, and robust regression. Design of experiments and analysis of variance. Introduction to data-mining includes stratified sampling, classification, logistic regression, and clustering; time series analysis and forecasting; process control; and Bayesian methods. Use of statistical computing systems including Excel add-ins and stand-alone packages. Case studies involving finance, management science, and engineering systems.

This class is at the Graduate level
This course is also known as: ESD.755J
Instructor: R. E. Welsch
Prerequisites: Permission of instructor

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