2008 AutomaticTimeSeriesForecasting

• (Hyndman & Khandakar, 2008) ⇒ Rob J. Hyndman, and Yeasmin Khandakar. (2008). “Automatic Time Series Forecasting: the forecast package for R.” In: Journal of Statistical Software, 27(3).

Subject Headings: Time Series Forecasting System, forecast R Package.

Quotes

Abstract

Automatic forecasts of large numbers of univariate time series are often needed in business and other contexts. We describe two automatic forecasting algorithms that have been implemented in the forecast package for R. The first is based on innovations state space models that underly exponential smoothing methods. The second is a step-wise algorithm for forecasting with ARIMA models. The algorithms are applicable to both seasonal and non-seasonal data, and are compared and illustrated using four real time series. We also briefly describe some of the other functionality available in the forecast package.

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 AutomaticTimeSeriesForecasting	Rob J. Hyndman Yeasmin Khandakar			Automatic Time Series Forecasting: the forecast package for R