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Forecasting with exponential smoothing Anne B. Koehler, J. Keith Ord, Ralph D. Snyder, Rob Hyndman
Publisher: Springer

I'd like to take an initial look at an innovative forecasting methodology using exponential smoothing models. This entry was posted in Uncategorized by mholt. Time series Forecasting using Holt-Winters Exponential Smoothing · And adapting it to use with multiple external regressors. Trendless data can be evaluated with the help of single exponential smoothing technique. Forecasts, as the saying goes (applied to models in general) are always wrong but often useful. This technique can be implemented on time series data to make the forecast or to smooth the data for presentation. However, we can also use smoothing to fill in missing values and/or conduct a forecast. Traditional forecasting methods, such as exponential smoothing and moving averages, that are designed for normal, high-volume demand just don't work well with intermittent demand. Time Series Forecasting – Exponential Smoothing. Posted on December 31, 2012 by mholt http://cran.r-project.org/web/packages/forecast/forecast.pdf. HW is a nice forecasting algorithm for streaming data.