bibtype J - Journal Article
ARLID 0427815
utime 20240103204206.2
mtime 20140519235959.9
WOS 000334724600007
DOI 10.1080/03610926.2012.677926
title (primary) (eng) Multivariate Process Capability Indices: A Directional Approach
specification
page_count 7 s.
media_type P
serial
ARLID cav_un_epca*0252520
ISSN 0361-0926
title Communications in Statistics - Theory and Methods
volume_id 43
volume 9 (2014)
page_num 1949-1955
publisher
name Taylor & Francis
keyword process capability index
keyword projection pursuit
keyword quantile regression
author (primary)
ARLID cav_un_auth*0266474
name1 Šiman
name2 Miroslav
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2014/SI/siman-0427815.pdf
cas_special
project
project_id 1M06047
agency GA MŠk
country CZ
ARLID cav_un_auth*0217941
abstract (eng) We propose a unified, universal, natural, and very intuitive way how to obtain new multivariate and tool wear extensions of univariate process capability indices by means of projection pursuit. We also illustrate the methodology in detail of the popular precision and accuracy indices, generalize the latter in a few different ways in the same spirit, add some personal insight, discuss the computational issues involved, and demonstrate the advantages of our approach in a small data example.
reportyear 2015
RIV BB
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0233603
confidential S
mrcbT16-e STATISTICSPROBABILITY
mrcbT16-j 0.234
mrcbT16-s 0.435
mrcbT16-4 Q3
mrcbT16-B 5.368
mrcbT16-C 2.049
mrcbT16-D Q4
mrcbT16-E Q4
arlyear 2014
mrcbU34 000334724600007 WOS
mrcbU63 cav_un_epca*0252520 Communications in Statistics - Theory and Methods 0361-0926 1532-415X Roč. 43 č. 9 2014 1949 1955 Taylor & Francis