Krstev, Aleksandar and Runcev, Kostadin and Krstev, Boris (2015) Multivariable data analysis (mva) for more statistical methods in the same time interval. In: International Conference on Information Technology and Development of Education – ITRO 2015, 26 June 2015, Zrenjanin, Republic of Serbia.
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Abstract
By implementing the system analysis and monitoring of water resources would allow an easier way of getting accurate, timely and reliable data related to water resources. With the help of this system enabled easier way of supplementing the database obtained from the fieldwork and processing of the office. Video monitoring is a major step in the monitoring of water resources especially in periods when there is increased water level so there is a danger of flooding. The data is processed by using this computer system may be used by other institutions, but still need their approval. With the help of new modern technologies and use the applications easily enables data to be modified, supplemented and stored.
The program for statistical analysis Minitab is composed of one main menu which offers a huge range of tools for statistical analysis. The study of the decision other than numerical, tables can be displayed graphically. This program is utilized in order to calculate factor analysis and to show Final Solutions.
In order to analyze multiple scenarios used multivariable data analysis (MVA) which includes monitoring and statistical analysis of multiple processes are processed in the same time interval. With the help of this analysis all variables are used as independent in order to analyze further alternatives in choice of final conceptual solution. With the help of this analysis to identify and critical parts of the analysis in order to calculate the effects of variables that are used in complex systems. This research used factor analysis for decision. The factor analysis with the help of this program is implemented with the help of scenarios. IT system is assayed with 3 scenarios.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences Natural sciences > Matematics |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Aleksandar Krstev |
| Date Deposited: | 20 Aug 2015 11:32 |
| Last Modified: | 20 Aug 2015 11:32 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/13480 |
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