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Operations Research Models and Methods
 
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Subunit Operations Management/Industrial Engineering
  - Forecasting
  The add-in implements several forecasting methods for data series including: moving average, exponential smoothing, regression and double exponential smoothing. The add-in constructs a form that holds the data and uses functions to compute forecasts and forecast errors. Several data series can be analyzed on a single worksheet page. An option allows comparison of several methods for a single time series. A simulation option creates data simulated with the Monte Carlo technique. A portfolio option evaluates and forecasts a portfolio of investments. Adjustments are provided for series with seasonality.
Add-in - Click the add-in name to download a zipped .xla file.
Add-in Name
File
Date
forecast.xla
2/06/2011

 

Demonstration Files - Click the demo name to download a .xls file.
Demo Name
File Name
 
forecast_demo.xls
 
 
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Operations Research Models and Methods
Internet
by Paul A. Jensen
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