A New Approach to Statistical Forecasting

dc.contributor.authorMakridakis, Spyros
dc.date.accessioned2016-06-01T13:31:17Z
dc.date.available2016-06-01T13:31:17Z
dc.date.issued1987-06
dc.description.abstractAvailable approaches to statistical forecasting suffer from several deficiencies (problems) that render their predictions for real-world economic/business series inappropriate. In this paper I illustrate such deficiencies, with real-world data, and propose a new approach that corrects their negative impact. In addition to being theoretically appealing, this new approach outperforms the best method of the M-Competition by a large margin when tested empirically.en_UK
dc.identifier.urihttp://hdl.handle.net/11728/7835
dc.language.isoenen_UK
dc.publisherSpringer Berlin Heidelbergen_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.source.urihttps://scholar.google.com/scholar?q=A+NEW+APPROACH+TO+STATISTICAL+FORECASTING+1987&hl=en&as_sdt=0&as_vis=1&oi=scholart&sa=X&ved=0ahUKEwioi_nt94bNAhVBVRQKHbbKAnwQgQMIFzAAen_UK
dc.subjectForecastingen_UK
dc.subjectEconomicsen_UK
dc.titleA New Approach to Statistical Forecastingen_UK
dc.typeArticleen_UK

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