TBU Publications
Repository of TBU Publications

Stepwise regression in marketing information system

DSpace Repository

Show simple item record

dc.title Stepwise regression in marketing information system en
dc.contributor.author Kovářík, Martin
dc.relation.ispartof Finance and the Performance of Firms in Science, Education and Practice 2013
dc.identifier.isbn 978-80-7454-246-6
dc.date.issued 2013
dc.citation.spage 390
dc.citation.epage 404
dc.event.title 6th International Scientific Conference on Finance and the Performance of Firms in Science, Education, and Practice
dc.event.location Zlín
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2013-04-25
dc.event.edate 2013-04-26
dc.type conferenceObject
dc.language.iso en
dc.publisher Univerzita Tomáše Bati ve Zlíně (UTB) cs
dc.publisher Tomas Bata University in Zlín en
dc.relation.uri http://www.ufu.utb.cz/sbornik/proceedings2013.pdf
dc.subject Marketing information system (MIS) en
dc.subject Processing of marketing information en
dc.subject Stepwise regression en
dc.subject Multicollinearity en
dc.subject Gauss-Markov conditions for residues en
dc.description.abstract The aim of this article is to define a marketing information system from the perspective of processing marketing information with an emphasis on cluster analysis. The introductory part contains a definition of the marketing information system and the position of the processing and analysing of data in this system. What follows is a methodical view of stepwise regression analysis and theoretical description of this concept, the purpose of which is to find to find a subset of k regressors in a suitable linear regression model, thus the determination of statistically significant regressors that explain the most of the variability in dependent variable. The concluding, practical part will contain practical application of this analysis to specific data using Matlab 2011b program environment. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1003662
utb.identifier.obdid 43870013
utb.identifier.wok 000329435800033
utb.source d-wok
dc.date.accessioned 2014-02-12T16:16:00Z
dc.date.available 2014-02-12T16:16:00Z
utb.identifier.utb-sysno 57048
utb.contributor.internalauthor Kovářík, Martin
utb.fulltext.affiliation Ing. Bc. Martin Kovářík, Ph.D. Department of Statistics and Quantitative Methods, Faculty of Management and Economics. Tomas Bata University in Zlín, Mostní 5139, Zlín 760 01, The Czech Republic. Email: kovarik.fame@seznam.cz
utb.fulltext.dates -
utb.fulltext.sponsorship The author is thankful to the Operational Programme Education for Competitiveness cofunded by the European Social Fund (ESF) and national budget of the Czech Republic for the grant No. CZ.1.07/2.3.00/20.0147 - “Human Resources Development in the field of Measurement and Management of Companies, Clusters and Regions Performance”, which provided financial support for this research
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou Department of Statistics and Quantitative Methods
utb.identifier.jel M31
utb.identifier.jel C39
utb.identifier.jel C49
utb.identifier.jel C59
Find Full text

Files in this item

Show simple item record