A multivariate logistic model for competing technological products in a market

dc.contributor.author	Δημοτίκαλης, Ιωάννης	el
dc.date.accessioned	2015-01-27T12:10:42Z
dc.date.available	2015-01-27T12:10:42Z
dc.date.issued	2015-01-27
dc.identifier.uri	http://hdl.handle.net/11400/4845
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Αγορά
dc.subject	Λογιστικό μοντέλο
dc.subject	Εξίσωση
dc.subject	Τεχνολογικά προϊόντα
dc.subject	Market
dc.subject	Logistic model
dc.subject	Equation
dc.subject	Technological products
dc.title	A multivariate logistic model for competing technological products in a market	en
heal.type	conferenceItem
heal.generalDescription	ISSN Σειράς Πρακτικών: 1791-8499	el
heal.classification	Administration
heal.classification	Market research
heal.classification	Διοίκηση και οργάνωση
heal.classification	Έρευνα αγοράς
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh2002007910
heal.classificationURI	http://skos.um.es/unescothes/C02411
heal.classificationURI	N/A-Διοίκηση και οργάνωση
heal.classificationURI	N/A-Έρευνα αγοράς
heal.contributorName	Φράγκος, Χρήστος Κ. (1949-) (Επιμ.)	el
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Διοίκησης και Οικονομίας. Τμήμα Διοίκησης Επιχειρήσεων. Κατεύθυνση Διοίκησης Επιχειρήσεων	el
heal.publicationDate	2009-05
heal.bibliographicCitation	Dimotikalis, I. (2009). A multivariate logistic model for competing technological products in a market. In Proceedings of the 2nd International Conference: quantitative and qualitative methodologies in the economic and administrative sciences. Athens, 25th to 27th May 2009. Athens: TEI of Athens. pp. 95-103.	en
heal.abstract	We propose a multivariate extension of discrete logistic model to represent the whole competition of m technological products, coming from a technology, in a specific market. The relation to Lotka- Voltera model it is examined and used for an improvement of the model. We apply the proposed model to the data set of the Greek mobile phones market data, consisting of 3 competitors, to evaluate model performance in fitting and forecasting. In both markets the model fitting and forecasting performance is acceptable and encouraging. Finally some remarks, conclusions and future tasks are discussed both methodological and practical about multivariate logistic model.	en
heal.publisher	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας	el
heal.publisher	TEI of Athens	en
heal.fullTextAvailability	true
heal.conferenceName	2nd International Conference: Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences	en
heal.conferenceItemType	full paper