18 statistics PhD scholarships at Slovak University of Agriculture in Nitra in Slovakia
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for the sale of selected agricultural commodities of regional producers Supervisor: doc. RNDr. Dana Országhová, CSc. Workplace: Institute of Statistics, Operations Research and Mathematics Field of study
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the identification of sustainable foods Supervisor: doc. Ing. Renáta Benda Prokeinová, PhD. Workplace: Institute of Statistics, Operations Research and Mathematics Field of study: Economics and Management Study
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data from the Statistical Office of the Slovak Republic. Primary sources of information will be obtained by conducting marketing research. When evaluating the results of the dissertation, selected
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the tax burden will be present the data of selected agricultural enterprises operating in selected regions of the Slovak Republic, as well as the database of the Statistical Office of the Slovak Republic
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beef production systems – economic and environmental trade-offs Supervisor: doc. Ing. Renáta Benda Prokeinová, PhD. Workplace: Institute of Statistics, Operations Research and Mathematics Field of study
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data will be used to develop a statistical model through the use of the DOE application. As a result of Taguchi's approach, this method reduces the number of tests required and enables the design of
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of the proposed dissertation topic: The dissertation work involves the testing of at least 33 samples of selected tough steel (i.e. measurements that are statistically significant) subjected to a fatigue test
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the domestic economy but also generally in the countries of the European Union. Through the use of statistics, econometrics and case studies from the environment of domestic and foreign cooperatives we will
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panel discussions will be used to collect primary data. Selected mathematical and statistical methods will be used to address the research, and text mining and biometric methods will be used
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management information systems and technologies. They will be at the solution basic scientific methods used: analysis, synthesis, comparison and selected mathematical and statistical methods (in accordance