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dc.contributor.authorLillestøl, Jostein
dc.contributor.authorAndersson, Jonas
dc.date.accessioned2008-10-21T10:44:06Z
dc.date.available2008-10-21T10:44:06Z
dc.date.issued2008-09
dc.identifier.issn1500-4066
dc.identifier.urihttp://hdl.handle.net/11250/164129
dc.description.abstractIn this note we explore the following surprising fact: In regression with trend and seasonality, the prediction risk is constant for all seasons of a new cycle, despite the fact that it increases with time when the seasons are left out. Awareness of this may be useful to both the practicing statistician and to teachers of statistics. The challenge of resolving the issue may also be given to students of statistics as a research project.en
dc.language.isoengen
dc.publisherNorwegian School of Economics and Business Administration. Department of Finance and Management Scienceen
dc.relation.ispartofseriesDiscussion paperen
dc.relation.ispartofseries2008:16en
dc.subjecttrend and seasonalityen
dc.subjectprediction risken
dc.subjectparadoxen
dc.titleA regression surprise resolveden
dc.typeWorking paperen
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Forsikringsmatematikk og risikoanalyse: 417en
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412en


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