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Distribution of constrained maximum coordinates

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dc.title Distribution of constrained maximum coordinates en
dc.contributor.author Tláskal, Martin
dc.contributor.author Doudová, Lucie
dc.contributor.author Buňka, František
dc.relation.ispartof Proceedings of the International Conference of Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014)
dc.identifier.issn 0094-243X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-7354-1287-3
dc.date.issued 2015
utb.relation.volume 1648
dc.event.title International Conference on Numerical Analysis and Applied Mathematics (ICNAAM)
dc.event.location Rhodes
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2014-09-22
dc.event.edate 2014-09-28
dc.type conferenceObject
dc.language.iso en
dc.publisher American Institute of Physics (AIP)
dc.identifier.doi 10.1063/1.4912954
dc.relation.uri http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4912954
dc.subject Delta method en
dc.subject emulsifying salts en
dc.subject processed cheese en
dc.subject regression analysis en
dc.description.abstract The aim of this article was to find the distribution of the random vector that determines constrained maximum coordinates of a regression function. At first the used regression function is described and the asymptotic distribution of the unconstrained maximum is derived. Then the distribution of constrained maximum coordinates is suggested for data from the food industry regarding the influence of emulsifying salts on the hardness of processed cheese. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1005219
utb.identifier.obdid 43873411
utb.identifier.scopus 2-s2.0-84939647476
utb.identifier.wok 000355339704084
utb.source d-wok
dc.date.accessioned 2015-07-15T08:42:23Z
dc.date.available 2015-07-15T08:42:23Z
dc.rights.access openAccess
utb.contributor.internalauthor Buňka, František
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