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 ...
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 ...
Simon Fraser University

Equations for the Smoothing Models

The ARIMA model equivalency to the additive version of Winters method is the ARIMA(0,1,p+1)(0,1,0) p model The moving-average form of the equation is For the additive version of Winters method (see ...
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 ...
Business Insider

8 Steps Every Business Needs To Take When Forecasting Sales

This post originally appeared at American Express OpenForum. Whether it's Gap officials determining how many sweaters to stock on their shelves or a local diner making waitstaff decisions, businesses ...