Kontaktujte nás | Jazyk: čeština English
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 |