Exponential Smoothing of Seasonal Data: A Comparison
Roland G. Shami and
Ralph D. Snyder
No 267932, Department of Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics
Abstract:
A parsimonious method of exponential smoothing is introduced for time series generated from a combination of local trends and local seasonal effects. It is compared with the additive version of the Holt-Winters method of forecasting on a standard collection of real time series.
Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 10
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/267932/files/monash-239.pdf (application/pdf)
https://ageconsearch.umn.edu/record/267932/files/monash-239.pdf?subformat=pdfa (application/pdf)
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:ags:monebs:267932
DOI: 10.22004/ag.econ.267932
Access Statistics for this paper
More papers in Department of Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().