Distribution of constrained maximum coordinates

Tláskal, Martin; Doudová, Lucie; Buňka, František

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