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Overview
Management Science : A practical managerial approach to advanced simple and multiple regression analysis, with application in finance, economics and business, including a review of probability theory, an introduction to methods of least squares and maximum likelihood estimation, autoregressive forecasting models and analysis of variance.
Terms: Fall 2023, Winter 2024
Instructors: Frieden, Gabriel (Fall) Frieden, Gabriel (Winter)
Prerequisite: MGCR 271 or equivalent.
Restriction(s): Not open to students who have taken or are taking ECON 257D1/D2, MATH 324, MATH 423, MATH 357 or equivalent.
1. You may not be able to receive credit for this course and other statistics courses. Be sure to check the Course Overlap section of the Desautels Faculty of Management in the eCalendar.