Simon Fraser University

Forecasting Methods

In the STEPAR method, PROC FORECAST first fits a time trend model to the series and takes the difference between each value and the estimated trend. (This process is called detrending.) Then, the ...
JSTOR Daily

Multi-item sales forecasting with total and split exponential smoothing

Efficient supply chain management relies on accurate demand forecasting. Typically, forecasts are required at frequent intervals for many items. Forecasting methods suitable for this application are ...
Harvard Business School

A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression

Crane, D. B., and James R. Crotty. "A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression." Management Science 13, no. 8 (April 1966).
Simon Fraser University

Smoothing Model Specification Window

Use the Smoothing Model Specification window to specify and fit exponential smoothing and Winters method models. Access it from the Develop Models window using the Fit Model submenu of the Edit ...
InfoWorld

An introduction to time series forecasting

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...
JSTOR Daily

A Comparison of Short and Medium Range Statistical Forecasting Methods

This is a preview. Log in through your library . Abstract Exponential Smoothing, Moving Average, and Least Squares forecasting models were tested by simulating their operation on seven years of actual ...