2013-2015 Graduate Catalog 
    
    Mar 28, 2024  
2013-2015 Graduate Catalog [ARCHIVED CATALOG]

QANL 6607 - Forecasting


Prerequisite:QANL 6604  .. A comprehensive review of statistics and data analysis that is useful for preparing individual business forecasts and long-term planning. Aspects of forecasting covered include a variety of techniques: smoothing methods, moving averages, regression analysis, classical time-series decomposition methods, and ARIMA (Box-Jenkins) models. The overall objective is to build forecasting models, produce forecasts, and evaluate their reliability. Topical issues related to the analysis of time-series data and computer applications are an intrgral component of the course. Students will learn how to use computer programs such as MATLAB or SPSS as well as applicable Excel add-ins to do real-data business forecasts and to evaluate their performance and implications.
 
3 credit hours.