Model and Prediction: Yearly Data

Helmut Pruscha ()

Chapter Chapter 4 in Statistical Analysis of Climate Series, 2013, pp 49-66 from Springer

Abstract: Abstract In the following we discuss statistical models, which are supposed (i) to describe the mechanism how a climate series evolves, and which can support (ii) the prediction of climate values in the next year(s). Time series models of the ARMA-type, as described in the Appendix B.3, will stand in the center of our analysis. These models are applied to the series of differences of consecutive time series values; this “differenced” series is considered as sufficiently “trendfree”.

Keywords: Climatic Values; Pure Random Series; ARIMA Method; GARCH Model; Differenced Series (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32084-2_4

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DOI: 10.1007/978-3-642-32084-2_4

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