0394473 20240103202746.920131001235959.9 8 s. C cav_un_epca*0394472978-989-8565-70-9380-387PortugalskoINSTICC – Institute for Systems and Technologies of Information, Control and Communication2013Ferrier, Gusikhin, Madani, Sasiadek statistical analysis Bayesian analysis Truncated distributions cav_un_auth*0242543 Dedecius Kamil Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0212695 Ettler P. CZ http://library.utia.cas.cz/separaty/2013/AS/dedecius-overview of bounded support distributions and methods for bayesian treatment of industrial data.pdf 7D12004 GA MŠk cav_un_auth*0291242 Statistical analysis and modelling of various phenomena are well established in nowadays industrial practice. However, the traditional approaches neglecting the true properties of the phenomena still dominate. Among others, this includes also the cases when a variable with bounded range is analyzed using probabilistic distributions with unbounded domain. Since many of those variables nearly fulfill the basic conditions imposed by the chosen distribution, the properties of used statistical models are violated rather rarely. Still, there are numerous cases, when inference with distributions with unbounded domain may lead to absurd conclusions. The paper addresses this issue from the Bayesian viewpoint. It briefly discusses suitable distributions and inferential methods overcoming the emerging computational issues. cav_un_auth*0292864 10th international conference on informatics in control, automation and robotics (ICINCO 2013) Reykjavík 29.07.2013-31.07.2013 IS 2014 IN 2 PR RVO:67985556 http://hdl.handle.net/11104/0224341 2013 cav_un_epca*0394472 Proceedings of the 10th international conference on informatics in control, automation and robotics (ICINCO 2013) 978-989-8565-70-9 380 387 Portugalsko INSTICC – Institute for Systems and Technologies of Information, Control and Communication 2013 Ferrier, Gusikhin, Madani, Sasiadek 340