Milan Terek

Vysoka skola manazmentu/City University of Seattle Programs, Panonska cesta 17, 851 04 Bratislava, Slovak Republic


2nd International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2018 – Graz, Austria, November 8, 2018, CONFERENCE PROCEEDINGS published by the Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-13-4


The paper deals with the analysis of incomes structure in regions of Slovak republic based on European Union statistics on income and living conditions in Slovak republic data in the year 2016. The empirical probability mass function and empirical cumulative distribution function are formulated using the given sampling weights. Based on these functions the median whole gross household incomes for the whole Slovak republic and separately for eight Slovak regions are estimated.  The results of analysis show that the differences among Slovak regions according to the median whole gross household incomes are mostly only moderate.

Key words

median incomes, sampling weights, empirical probability mass function, empirical cumulative distribution function

[1] European Union Statistics on Income and Living Conditions (EU-SILC). Available at:
[2] Barnett, V. – Lewis, T. (1994) Outliers in Statistical Data, Wiley and Sons, Hoboken, p. 7.
[3] Terek, M., Tibensky, M. (2014) Outliers and Some Non-Traditional Measures of Location in Analysis of Wages. European Scientific Journal, Special Edition, 2014, Vol. 1.
[4] Terek, M. (2016): Odlahle data a charakteristiky polohy v analyzach miezd a prijmov. In: Revue socialno-ekonomickeho rozvoja, Vol. II, number 1/2016.
[5] Cochran, W. G. (1977) Sampling Techniques, Wiley and Sons, New York.
[6] Lohr, S. L. (2010): Sampling: Design and Analysis, 2nd edition, Brooks/Cole, Boston.


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