The PMBA 6331 Forecasting Methods in Business course provides an introduction to quantitative techniques related to historical data used to make predictions. In this course students will learn to use growth curve regression, polynomial and trigonometric models and model seasonal, trend and cyclical variation. In this course students will focus on model building, statistical concepts, an overview of residual analysis and time series regression analysis. In this course students are taught to use simple exponential smoothing, additive decomposition, Holt-Winters, multiplicative decomposition, and trend-corrected exponential smoothing methods. In this course students will learn to use Box-Jenkins analysis, time series model identification, and inferential analysis for forecasting.

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