Exponential smoothing - Wikipedia
Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function. Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time. It is an easily learned and easily applied procedure for making some determin
Using R for Time Series Analysis — Time Series 0.2 documentation
Time Series Analysis¶ This booklet itells you how to use the R statistical software to carry out some simple analyses that are common in analysing time series data. This booklet assumes that the reader has some basic knowledge of time series analysis, and the principal focus of the booklet is not to explain time series analysis, but rather to explain how to carry out these analyses using R. If you
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forecast: Forecasting Functions for Time Series and Linear Models
fishyoperations.com has expired
http://www.ec.kansai-u.ac.jp/user/arakit/documents/lbrts.pdf
Time Series Analysis and Forecasting
Time Series Forecastig Competition for Neural Networks and Computational Intelligence - Homepage
First International Competition of Time Series Forecasting | Kaggle
http://www.sas.com/offices/NA/canada/downloads/presentations/Victoria2008/Time.pdf
