Višestruka regresija i prognoza ukupne akcijske prodaje

Šunjo, Nina (2014) Višestruka regresija i prognoza ukupne akcijske prodaje. Diploma thesis, Faculty of Science > Department of Mathematics.

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Abstract

The aim of this study was to become familiar with the benefits of grouping data in the development of a mathematical model to predict the action of sales, and the development of the model. K-means algorithm was used to group the data, and the method of multiple linear regression was used to perform evaluation. Regression model was created using actual data provided by the retail chain Konzum. The results showed that clustering data into five groups does not reduce the prediction error, but increases. By changing various parameters of modeling and the use of other types of data might achieve better results, so further research is needed to improve the existing model.

Item Type: Thesis (Diploma thesis)
Supervisor: Marušić, Miljenko
Date: 2014
Number of Pages: 34
Subjects: NATURAL SCIENCES > Mathematics
Divisions: Faculty of Science > Department of Mathematics
Depositing User: Iva Prah
Date Deposited: 13 Jul 2015 12:17
Last Modified: 13 Jul 2015 12:17
URI: http://digre.pmf.unizg.hr/id/eprint/4120

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