Catalog Search Results
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Get an introduction to simple exponential smoothing, including how to assemble the forecast equation and optimize forecasts.
Exponential smoothing is a term for a set of straightforward forecasting procedures that apply self-correction. Each forecast comprises two components. It's a weighted average of the prior forecast, plus an adjustment that would have made the prior forecast more accurate. Smoothing—like most credible approaches to forecasting—requires...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn about a forecasting technique that recognizes and accounts for trends in a baseline, as well as how to run the trend forecast analysis in R.
Simple exponential smoothing (SES) incorporates most of the elements used in the smoothing approach to forecasting, such as a level smoothing constant, self-correction, and the gradual weakening of the influence of older observations on new forecasts. But SES works poorly with baselines that display either...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn how to perform seasonal baseline smoothing with R and Excel and incorporate seasonal variation for more accurate and insightful forecasts.
Seasonal exponential smoothing is an extension of simple exponential smoothing (SES). Seasonal smoothing is often used when a baseline shows regular seasonal peaks and valleys. Residential water usage is a familiar example: consumption rises during the summer and fall and drops during winter and spring—but...
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