18
Metric models allow estimation of quantity, determination of variables, development projections, analyses of economic cycles, and movement of supply and
demand, whereas the simulation method implies the application of modern calculators and theoretical behavior of phenomena and processes in reality in order to find
the most favorable possible solution.
Modeling is a systematic research procedure through which real or thought models are made, i.e., models of sketches, objects, mathematical formulas, etc. (Gilbert
1987). The model is a cognitive dialectical process of the movement of cognition
from practice to theory and from theory to practice. The object of modeling can be
any phenomenon, i.e., any object, physical or organic. The structure of modeling is
made up of four factors: passive objective factors (subject of modeling), active subjective factors, means or tools, and position in objective reality and conditions.
Therefore, a model can be any model, sketch, and picture, such as city plan, map,
various miniature or real model, organizational chart, etc.
1.3.2 Experimental Design
An experiment is a planned, organized procedure of controlled observation and
checking of a law, process, or phenomenon that is examined under precisely certain
conditions, which had the purpose of detecting unknown factors, properties, relationships, processes, phenomena, objects, laws, and the like. The experiment is a
scientific method that connects them theoretically with practical knowledge. The
experimental method is often used in combination with other scientific methods
such as the observational experiment. The basics of the experimental method are the
experimenter, the subject of the experiment, the means, the instruments, procedures,
operations, setting, processing and testing of the hypothesis, obtained results, explanation, analysis and presentation of results, setting new higher goals, hypotheses,
new experiment, new results, etc.
Investigations of abnormalities and distributions in the environment should be
based on a well-placed experiment. The observation model usually provides the
general screening of the situation in the environment. This is how the framework for
setting theoretical hypotheses is defined. These hypotheses most often refer to the
so-called micro-environments, in which the abnormal occurrence, distorted natural
distribution of a given variable, or the content of certain essential components
occurs (Dudoit et al. 2003). Observation in order to be scientific must be more
objective, conscious, complete, precise, strict, organized, systematic, persistent, etc.
Monitoring is always a cheaper and more efficient methodology when it comes
to monitoring a certain phenomenon in the environment. Monitoring, on the other
hand, allows research to be time-limited. On the other hand, this observation
approach allows the detection of phenomena that may not be foreseen in the hypothesis at the beginning of the research. Additionally, monitoring is an in vivo experiment that should reflect the actual interactions between the variables that are subject
to monitoring. Also included are environmental factors that directly and indirectly
B. Balabanova
Metric models allow estimation of quantity, determination of variables, development projections, analyses of economic cycles, and movement of supply and
demand, whereas the simulation method implies the application of modern calculators and theoretical behavior of phenomena and processes in reality in order to find
the most favorable possible solution.
Modeling is a systematic research procedure through which real or thought models are made, i.e., models of sketches, objects, mathematical formulas, etc. (Gilbert
1987). The model is a cognitive dialectical process of the movement of cognition
from practice to theory and from theory to practice. The object of modeling can be
any phenomenon, i.e., any object, physical or organic. The structure of modeling is
made up of four factors: passive objective factors (subject of modeling), active subjective factors, means or tools, and position in objective reality and conditions.
Therefore, a model can be any model, sketch, and picture, such as city plan, map,
various miniature or real model, organizational chart, etc.
1.3.2 Experimental Design
An experiment is a planned, organized procedure of controlled observation and
checking of a law, process, or phenomenon that is examined under precisely certain
conditions, which had the purpose of detecting unknown factors, properties, relationships, processes, phenomena, objects, laws, and the like. The experiment is a
scientific method that connects them theoretically with practical knowledge. The
experimental method is often used in combination with other scientific methods
such as the observational experiment. The basics of the experimental method are the
experimenter, the subject of the experiment, the means, the instruments, procedures,
operations, setting, processing and testing of the hypothesis, obtained results, explanation, analysis and presentation of results, setting new higher goals, hypotheses,
new experiment, new results, etc.
Investigations of abnormalities and distributions in the environment should be
based on a well-placed experiment. The observation model usually provides the
general screening of the situation in the environment. This is how the framework for
setting theoretical hypotheses is defined. These hypotheses most often refer to the
so-called micro-environments, in which the abnormal occurrence, distorted natural
distribution of a given variable, or the content of certain essential components
occurs (Dudoit et al. 2003). Observation in order to be scientific must be more
objective, conscious, complete, precise, strict, organized, systematic, persistent, etc.
Monitoring is always a cheaper and more efficient methodology when it comes
to monitoring a certain phenomenon in the environment. Monitoring, on the other
hand, allows research to be time-limited. On the other hand, this observation
approach allows the detection of phenomena that may not be foreseen in the hypothesis at the beginning of the research. Additionally, monitoring is an in vivo experiment that should reflect the actual interactions between the variables that are subject
to monitoring. Also included are environmental factors that directly and indirectly
B. Balabanova