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Comparison of the effectiveness of forecasts obtained by means of selected probability functions with respect to forecast error distributions
Linnaeus University, School of Business and Economics, Department of Economics and Statistics. (Statistics)ORCID iD: 0000-0002-3416-5896
Szczecin University, Poland.
Szczecin University, Poland.
2017 (English)In: Communications in statistics. Simulation and computation, ISSN 0361-0918, E-ISSN 1532-4141, Vol. 46, no 5, p. 3667-3679Article in journal (Refereed) Published
Abstract [en]

The Forecasting of sales in a company is one of the crucial challenges that must be faced. Nowadays, there is a large spectrum of methods that enable making reliable forecasts. However, sometimes the nature of time series excludes many well-known and widely used forecasting methods (e.g. econometric models). Therefore, the authors decided to forecast on the basis of a seasonally adjusted median of selected probability distributions. The obtained forecasts were verified by means of distributions of the Theil U2 coefficient and unbiasedness coefficient.

Place, publisher, year, edition, pages
Taylor & Francis, 2017. Vol. 46, no 5, p. 3667-3679
Keywords [en]
clinical decision-making, electronic health records, track and trigger systems, in-hospital cardiac arrest
National Category
Economics and Business Probability Theory and Statistics
Research subject
Economy
Identifiers
URN: urn:nbn:se:lnu:diva-46440DOI: 10.1080/03610918.2015.1100734ISI: 000402090000025OAI: oai:DiVA.org:lnu-46440DiVA, id: diva2:855988
Available from: 2015-09-22 Created: 2015-09-22 Last updated: 2017-07-18Bibliographically approved

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Shukur, Ghazi

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  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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