Statistical Methods in Theory of Technical Systems
| Autor: | Jasminka Bonato, Biserka Draščić Ban, Antun Kraš |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
021103 operations research
mathematical statistics 05 social sciences quantitative reliability calculations computer simulations 0211 other engineering and technologies 0501 psychology and cognitive sciences 02 engineering and technology matematička statistika kvantitativni proračun pouzdanosti računalne simulacije 050107 human factors |
| Zdroj: | Pomorski zbornik Volume Special edition Issue 3 |
| ISSN: | 1848-9052 0554-6397 |
| Popis: | Today’s society is served by modern technology, accompanied by effects of insecurity and uncertainty, which are important and inevitable. Engineering analysis must include methods of assessing these impacts on the design, implementation and operation of technical systems. Mathematical statistics and probability theory provide the mathematical basis for modeling unreliability and analysis as well as their impact on already built technical systems. The aim of the paper is to introduce quantitative methods that enable systematic development of planned and constructed criteria, problem modeling and evaluation of economically technical optimum. |
| Databáze: | OpenAIRE |
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