dc.contributor.author | Šečkutė, Laima | |
dc.contributor.author | Pabedinskaitė, Arnoldina Ona | |
dc.date.accessioned | 2023-09-18T19:15:22Z | |
dc.date.available | 2023-09-18T19:15:22Z | |
dc.date.issued | 2004 | |
dc.identifier.issn | 0025-455X | |
dc.identifier.other | (BIS)VGT02-000009131 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/137350 | |
dc.description.abstract | Information 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.extent | p. 60-63 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.title | Selection of forecasting methods = | |
dc.type | Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed source | |
dcterms.references | 0 | |
dc.type.pubtype | S4 - Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed publication | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
dc.contributor.faculty | Mechanikos fakultetas / Faculty of Mechanics | |
dc.subject.researchfield | S 004 - Ekonomika / Economics | |
dcterms.sourcetitle | Машиностроение & електротехника : научен брой | |
dc.description.issue | №. 7-8 | |
dc.publisher.name | Машининтелект | |
dc.publisher.city | София | |
dc.identifier.elaba | 3682832 | |