PROBABILITY ASSESMENT OF CORRECT ADR VEHICLE LABELLING USING BAYESIAN STATISTICS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F13%3A%230001178" target="_blank" >RIV/44994575:_____/13:#0001178 - isvavai.cz</a>
Result on the web
<a href="http://pernerscontacts.upce.cz/archiv.htm" target="_blank" >http://pernerscontacts.upce.cz/archiv.htm</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
PROBABILITY ASSESMENT OF CORRECT ADR VEHICLE LABELLING USING BAYESIAN STATISTICS
Original language description
This article is focused on theoretical and mathematical assessment of the probability of correct labelling of vehicles transporting dangerous goods according to the international ADR agreement. The calculations used the principles of Bayesian statisticsand general knowledge of the theory of probability. For the mathematical part of the solution were used statistical data on the transport of dangerous goods in the Czech Republic. In conclusion there are suggested possible links and implications of the findings.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AQ - Safety and health protection, safety in operating machinery
OECD FORD branch
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Project
<a href="/en/project/EE2.3.20.0226" target="_blank" >EE2.3.20.0226: Support networks of excellence for research and academic staff in the field of transport</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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