Show simple item record

dc.contributor.authorŠečkutė, Laima
dc.contributor.authorPabedinskaitė, Arnoldina Ona
dc.date.accessioned2023-09-18T19:15:22Z
dc.date.available2023-09-18T19:15:22Z
dc.date.issued2004
dc.identifier.issn0025-455X
dc.identifier.other(BIS)VGT02-000009131
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/137350
dc.description.abstractInformation is a very important factor for successful activity of every enterprise. But in practice very often we meet the lack of the most necessary information. That is why forecasting plays an important part its accuracy greatly influences the quality of various decisions. The following forecasting methods are employed most often: trend extrapolation and the smoothing methods (the method of moving averages, exponential smoothing), regression analysis, expert's evaluations. [...].eng
dc.format.extentp. 60-63
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.titleSelection of forecasting methods =
dc.typeStraipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed source
dcterms.references0
dc.type.pubtypeS4 - Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed publication
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.contributor.facultyMechanikos fakultetas / Faculty of Mechanics
dc.subject.researchfieldS 004 - Ekonomika / Economics
dcterms.sourcetitleМашиностроение & електротехника : научен брой
dc.description.issue№. 7-8
dc.publisher.nameМашининтелект
dc.publisher.cityСофия
dc.identifier.elaba3682832


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record