285 Time Series Analysis and Forecasting
Helps managers face problems of forecasting the future value of external and internal factors such as product demand, input prices, inventory levels, interest rates, advertising budgets, etc. Covers techniques to aid in this task, including time series analysis, which is the statistical analysis of past data series to produce forecasts for future values of the series.
Covers methods such as exponential smoothing, Box-Jenkins modeling, seasonal adjustment, decomposition, curve fitting and multiple regression. Both the statistical principles and the practical details of these methods will be addressed. In addition, business studies homework and a project are assigned to enhance the abilities of empirical data analysis.