2011
DOI: 10.21496/ams.2011.028
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Analysis of Water Pollution Indicators with the Use of Selected Statistical Methods

Abstract: J. Šafarik in Košice. He received the PhD.-degree at the Mathematic-Physics Faculty, University of J.A. Comenius in Bratislava, and he was habilitated at the Faculty of Mechanical Engineering, University of Žilina, in the scientific branch of applied mathematics. His scientific focus is oriented to the modelling of processes in the biomedical engineering, to the research of materials, as well as to the measurement and diagnostic equipment, prognostics and evaluation of medical proceed. He is a co-author of one… Show more

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Cited by 3 publications
(2 citation statements)
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“…The first group includes models for calculating the flow parameters of the conveyor line. When building models of this group are used: the finite element method (FEM) [6]; finite difference method (FDM) [7]; Lagrange equations [8]; aggregated equation of state [9,10,11]; equations for neural network layers [12]; system dynamics equations [13] and multiple regression equations [14][15][16]. The models of the first group are used in the tasks of operational planning of production activities of the enterprise.…”
Section: Conveyor Type Production Line Modelmentioning
confidence: 99%
“…The first group includes models for calculating the flow parameters of the conveyor line. When building models of this group are used: the finite element method (FEM) [6]; finite difference method (FDM) [7]; Lagrange equations [8]; aggregated equation of state [9,10,11]; equations for neural network layers [12]; system dynamics equations [13] and multiple regression equations [14][15][16]. The models of the first group are used in the tasks of operational planning of production activities of the enterprise.…”
Section: Conveyor Type Production Line Modelmentioning
confidence: 99%
“…Statistical tools in the analysis of water quality to process the collected data have been used and capitalized in papers, as that of Andrejiová et al [29] and Wang et al [30], book chapters by Fu et al [31], and more extended works, as that of Helsel and Hirsch [32], Bal [33], and Hajigholizadeh [34].…”
Section: Introductionmentioning
confidence: 99%