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

ToyProblems - Exponential Smoothing. Forecasting is widely used in management and Excel allows us to solve simple forecasting tasks. I have thought quite a lot about including regressors (i.e. Public class TripleExponentialSmoothingModel extends AbstractTimeBasedModel. Exponential smoothing is one of the most common techniques that is applied to time series data to make forecasts. This process requires both technical and business application knowledge of the following forecast models; exponential smoothing, regression, and bayesian forecasting models. To accomplish this, I'll use a forecasting technique known as Exponential Smoothing. In recent years, with the rapid development of science and technology, economy and society have made great progress, meanwhile a large mount of date such as agricultural prices have been produced in various fields. There are three main versions of this technique, and I'll be using a version known as double exponential smoothing. Covariates) in exponential smoothing (ETS) models, and I have done it a couple of times in my published work. Triple exponential smoothing - also known as the Winters method - is a refinement of the. In csc311, students were taught the different types of forecasting techniques e.g Exponential Smoothing, Moving Averages, Linear, Logarithmnic, Addictive and Multiplicative methods. Taylor from the University of Oxford presents a Management Science seminar on "Exponential Smoothing for Time Series with Multiple Seasonal Cycles".