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Mathematics, Statistics & Computer Science Department
COURSE NO./TITLE: STAT-440/640 Advanced Linear Modeling – Regression & Time Series Analysis
CATALOG DESCRIPTION: Multiple Regression, Inference about Regression Parameters, Remedial Regression Measures, Quantitative and Qualitative Regression, Model Selection/ Validation, Nonlinear Regression, Neural Networks, Logistic and Poisson Regression, Generalized Linear Models, Time Series, Smoothing, Stochastic Time Series, Moving Average and Autoregressive Models, Auto Regressive Integrated Moving Average (ARIMA), Estimating and Forecasting with Time Series.
Prerequisite: STAT-332 Probability & Mathematical Statistics II or permission of instructor.
TEXTBOOK: FORECASTING, TIME SERIES & REGRESSION, 4th Ed., by Bowerman (adopted 8/1/06)
OBJECTIVES: Upon completing the course students will be able to: