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Forecasting with exponential smoothing ebook

Forecasting with exponential smoothing ebook

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

Forecasting with exponential smoothing



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Forecasting with exponential smoothing Anne B. Koehler, J. Keith Ord, Ralph D. Snyder, Rob Hyndman ebook
Publisher: Springer
ISBN: 3540719164, 9783540719168
Format: pdf
Page: 356


It is both simple and sophisticated. However, forecasts today give greater emphasis on the more recent demand data than the older data. However, there is another forecasting tool that an analyst or project manager can use. Exponential smoothing, hampir sama dengan moving average yaitu merupakan teknik forecasting yang sederhana, tetapi telah menggunakan suatu penimbang (w) dengan besaran antara 0 hingga 1. 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. This will be a full license of a forecasting application that will run on Microsoft Excel. If you're a retailer that needs to take into account any sort of seasonal differences or other trends in your forecast, you should look into using the exponential smoothing model, a relatively simple technique. We have already looked at the standard moving average and the weighted moving average. This is called smoothing and is produced by giving more weight to the recent data. A) Use exponential smoothing with a smoothing constant of 0.3 to forecast the registrations at the seminar given in Problem 4.10. To begin the procedure, assume that the forecast for year 1 was 5,000 people signing up.

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