The Use of ARIMA Model Approach in Marketing – Application to Sales Forecasting (Conference presentation)
Juznik Rotar, L.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Juznik Rotar, L. | en |
dc.date.accessioned | 2016-05-26T16:17:37Z | - |
dc.date.available | 2016-05-26T16:17:37Z | - |
dc.identifier.citation | International Conference on Contemporary Marketing Issues (ICCMI) 13 – 15 June 2012 Thessaloniki, Greece | - |
dc.identifier.uri | http://195.251.240.227/jspui/handle/123456789/1199 | - |
dc.description | Άρθρο Συνεδρίου--ΑΤΕΙΘ, 2012 | - |
dc.format.extent | 550Κb | - |
dc.relation.ispartof | International Conference on Contemporary Marketing Issues (ICCMI) | - |
dc.rights | Default License | - |
dc.rights | Το τεκμήριο πιθανώς υπόκειται σε σχετική με τα Πνευματικά Δικαιώματα νομοθεσία | - |
dc.rights | This item is probably protected by Copyright Legislation | - |
dc.source.uri | http://195.251.240.227/jspui/handle/123456789/1176 | - |
dc.source.uri | http://www.mba.teithe.gr/wp-content/uploads/courses/ICCMI2012CONFERENCEPROCEEDINGS.pdf | - |
dc.subject | Forecasting | en |
dc.subject | ARIMA model | en |
dc.subject | Sales | en |
dc.subject | Πρόβλεψη | el |
dc.subject | Mοντέλο ΑΡΙΜΑ | el |
dc.subject | Εκπώσεις | el |
dc.title | The Use of ARIMA Model Approach in Marketing – Application to Sales Forecasting | en |
heal.type | conferenceItem | - |
heal.type.en | Conference presentation | en |
heal.dateAvailable | 2016-05-26T16:18:37Z | - |
heal.language | en | - |
heal.access | free | - |
heal.recordProvider | Σχολή Διοίκησης και Οικονομίας / Τμήμα Διοίκησης Επιχειρήσεων | el |
heal.publicationDate | 2012-06 | - |
heal.bibliographicCitation | Juznik Rotar, L., 2012, 'The Use of ARIMA Model Approach in Marketing – Application to Sales Forecasting', ICCMI, 13 – 15 June 2012 Thessaloniki, Greece, Alexander Technological Educational Institute (ATEI) of Thessaloniki, Thessaloniki, pp. 128-132. | en |
heal.abstract | Sales forecasting is becoming more important in everyday businesses. Good forecasting models can increase efficiency of businesses, they are saving money on excess inventory, increase profit and serve its customers better. Sales forecasting is a crucial part of the financial planning of a business. This paper presents a forecasting technique to model quarterly sales of a departmental store using well known ARIMA model to analyze and forecast time series. | en |
heal.publisher | Alexander Technological Educational Institute (ATEI) of Thessaloniki, Department of Marketing | en |
heal.publisher | Bucks New University | en |
heal.fullTextAvailability | true | - |
heal.conferenceName | International Conference on Contemporary Marketing Issues (ICCMI) 13 – 15 June 2012 Thessaloniki, Greece | en |
heal.conferenceItemType | full paper | - |
heal.type.el | Δημοσίευση σε συνέδριο | el |
Appears in Collections: | ICCMI (2012) |
Files in This Item:
File | Description | Size | Format | |
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Juznik_The_Use_of_ARIMA_Model.pdf | 550.92 kB | Adobe PDF | View/Open |
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