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EN
Research background: The literature overview shows a blank space regarding the effects of ownership on the determination of enterprises' spatial distribution. Various papers identify differences between determinants of the spatial distribution of foreign direct investments, exporters in foreign ownership, and domestically owned exporters; however, they mostly agree on the role of big cities, economic centres, and state of infrastructure as well as historical patterns. Purpose of the article: The article focuses on the spatial distribution analysis of enterprise units from their owner's perspective on the empirical evidence from all 79 districts of the Slovak Republic. Special attention is given to the category of the least developed districts. Methods: Within the presented article, the authors investigate the characteristics of the regional spatial distribution of business entities concerning standard ownership categories using the cluster analysis. The presented approach is twofold: firstly, the authors investigate the share of individual ownership types on the district level, and secondly, the number of enterprises by ownership categories is adjusted to 100,000 inhabitants. Cluster analysis and methods of spatial statistics are applied in both approaches. Findings & value added: The main results show a relation between the district's inclusion into the group of the least developed districts and enterprise ownership characteristics in these districts mainly through the relative underrepresentation of the secluded inland, foreign and international types of ownership, as well as their geographical clustering. The results of the presented research can be used in policy-making targeting business activity in underdeveloped districts. At the same time, the results provide basis for limited theoretical generalisations based on a single-country case study with regard to principles of business ownership structures development.
EN
The aim of the paper is to present a new statistical method which records the shape of vessels and sorts those vessels into groups based on their shape. This new statistical method - the method of fuzzy similarity allows us to find the most similar vessels according to their shape regardless of their size. It is presented on a sample group of vessels from the Nitra-Lupka cemetery.Cemetery and pottery kilns from the 9th/10th c. in Nitra-Lupka are located in the foreland of the hillfort-fortification. Vessels revealed in graves were burned in these pottery kilns. Vessels are of high quality, although they were produced only on slow-rotating potter's wheel. The results obtained by using of the new method were compared with the results of standard cluster analysis for four different cases of groups of variables. Chi-square-test was used to compare the two selected methods for the classification of vessels into groups.
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