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Precision Index in the Multivariate Context

SYSNO ASEP	0425059
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Precision Index in the Multivariate Context
Author(s)	Šiman, Miroslav (UTIA-B)_{RID, ORCID}
Source Title	Communications in Statistics - Theory and Methods. - : Taylor & Francis - ISSN 0361-0926 Roč. 43, č. 2 (2014), s. 377-387
Number of pages	11 s.
Publication form	Print - P
Language	eng - English
Country	US - United States
Keywords	data depth ; multivariate quantile ; process capability index ; precision index ; regression quantile
Subject RIV	BA - General Mathematics
R&D Projects	1M06047 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
Institutional support	UTIA-B - RVO:67985556
UT WOS	000328930900011
EID SCOPUS	84891609541
DOI	10.1080/03610926.2012.661509
Annotation	General multivariate quantiles are employed to extend the classic univariate process precision index to the multivariate context under very mild conditions. Using halfspace depth regions for this purpose is especially recommended because it leads to both computational simplicity and natural generalizations to the tool-wear setup thanks to some recent advances in multiple-output and projectional quantile regression. A few examples are included to illustrate how the methodology might work in practice.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2014

Number of the records: 1