The Weighted Moving Average Technique

Marcus B. Perry

30 citations0/0 files storedWiley Encyclopedia of Operations Research and Management Science

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Forecasting Techniques and Applications Time Series Analysis and Forecasting Statistical and numerical algorithms

Abstract

Abstract In this tutorial, the weighted moving average (WMA) is discussed. WMA is often used for smoothing irregular fluctuations (i.e., noise) in a time series to permit the data analyst to better reveal trend/cycle patterns over time. Additionally, WMA is frequently used to compute short‐term forecasts of time series (e.g., sales and stocks). Some common applications of WMA in the management science and quality engineering disciplines are discussed. Further, some properties of WMA, such as the expected value, variance, and one‐step ahead prediction variance, are also discussed.

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1992Introduction to Statistical Quality Control 1971Time Series Analysis, Forecasting and Control.1993Forecasting methods and applications 1979Forecasting: Methods and Applications.2005Introduction to Statistical Quality Control 1983Statistical Methods for Forecasting 1983Forecasting with Univariate Box‐Jenkins Models 1984Familiarity, application, and performance of sales forecasting techniques

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