EconPapers    
Economics at your fingertips  
 

Model and Prediction: Monthly Data

Helmut Pruscha ()

Chapter Chapter 5 in Statistical Analysis of Climate Series, 2013, pp 67-76 from Springer

Abstract: Abstract For the investigation of monthly climate data, we first estimate a trend by the ARIMA- or by the moving average-method of Chap. 4. Then, we remove the trend and apply the ARMA- or moving average-method once again, now to the detrended series.

Keywords: Monthly Climate Data; Detrended Series; Monthly Precipitation Amounts; ARMA Method; ARIMA Method (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32084-2_5

Ordering information: This item can be ordered from
http://www.springer.com/9783642320842

DOI: 10.1007/978-3-642-32084-2_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-02-19
Handle: RePEc:spr:sprchp:978-3-642-32084-2_5