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Ostertagová, E., Modelling Using Polynomial Regression, Procedia Engineering, 48 (2012), p. 500-506.

has been cited by the following article:

Article

Regression Analysis and Seasonal Adjustment of Time Series

1Department of Mathematics and Theoretical Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Nemcovej 32, 042 00 Košice, Slovak Republic

2Department of Applied Mechanics and Mechatronics, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, Slovak Republic


Journal of Automation and Control. 2015, Vol. 3 No. 3, 118-121
DOI: 10.12691/automation-3-3-16
Copyright © 2015 Science and Education Publishing

Cite this paper:
Eva Ostertagová, Oskar Ostertag. Regression Analysis and Seasonal Adjustment of Time Series. Journal of Automation and Control. 2015; 3(3):118-121. doi: 10.12691/automation-3-3-16.

Correspondence to: Eva  Ostertagová, Department of Mathematics and Theoretical Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Nemcovej 32, 042 00 Košice, Slovak Republic. Email: eva.ostertagova@tuke.sk

Abstract

The aim of this article is to demonstrate the dummy variables for estimation seasonal effects in a time series, to use them as inputs in a regression model for obtaining quality predictions. Model parameters were estimated using the least square method. After fitting, special tests to determine, if the model is satisfactory, were employed. The application data were analyzed using the MATLAB computer program that performs these calculations.

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