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Abstract
The decision making process, in general, is understood as a process of selecting one of the available solutions to the problem. One of possible approaches supporting the process is Bayesian statistical decision theory providing a mathematical model to make decisions of a technical nature in conditions of uncertainty. Regarding above, a detailed subject of the research is to analyze the value of the observation, which is a part of preposterior analysis. For the presented network, the main objective was to determine, conducting of which of three tests is the most valuable from the perspective of determining possible need or possibility to omission expensive technical expertise. The basis of verification, which test is the most valuable, is therefore the comparison of expected value of sample information (EVSI) for each of the three tests.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.proeng.2015.10.053
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Published in:
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Procedia Engineering
no. 123,
pages 24 - 31,
ISSN: 1877-7058 - Title of issue:
- Creative Construction Conference 2015, Selected Papers strony 24 - 31
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Apollo M., Kembłowski M..: Observation Value Analysis – Integral Part of Bayesian Diagnostics, W: Creative Construction Conference 2015, Selected Papers, 2015, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.proeng.2015.10.053
- Verified by:
- Gdańsk University of Technology
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