Μέθοδοι πολυμεταβλητής ανάλυσης επιχειρηματικών δεδομένων
Methods for multivariate analysis of business data
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Keywords
Ανάλυση κατά συστάδες ; Διαχωριστική ανάλυση ; ΠαλινδρόμησηAbstract
The present study refers to multivariate statistical analysis methods. Multivariate statistical analysis is a valuable tool for many science fields and industries. It includes many methods depending on problem that needs to be addressed. Multivariate statistical analysis consists of many methodologies and various procedures suitable for the use of many variables in order to extract results and statistical conclusions.
Specifically, in this thesis, firstly, the theoretical background of some multivariable
methods such as accounting regression, cluster analysis, separation analysis and others is presented. Namely, basic terms, description and conditions required for their application.
Additionally, real problems that were solved with above-mentioned methods in various industries such as telecommunications, tourism companies or environment are reported and described.
Finally, this research is completed with a statistical data analysis and methods are used with assistance of statistical package SPSS MODELER.