Representations by uncorrelated random variables
All multivariate random variables with finite variances are univariate functions of uncorrelated random variables and if the multivariate distribution is absolutely continuous then these univariate functions are piecewise linear. They can be independent of the correlations in the Gaussian case.
Gespeichert in:
Veröffentlicht in: | Mathematical methods of statistics 2017-04, Vol.26 (2), p.149-153 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 153 |
---|---|
container_issue | 2 |
container_start_page | 149 |
container_title | Mathematical methods of statistics |
container_volume | 26 |
creator | Móri, T. F. Székely, G.-J. |
description | All multivariate random variables with finite variances are univariate functions of uncorrelated random variables and if the multivariate distribution is absolutely continuous then these univariate functions are piecewise linear. They can be independent of the correlations in the Gaussian case. |
doi_str_mv | 10.3103/S1066530717020041 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2063619908</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2063619908</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-1e3a15fa40dd011f503976d27da36b4955cf6422feec9b73e449123d585fdc173</originalsourceid><addsrcrecordid>eNp1kEtLxEAQhAdRcF39Ad4CnqPd80rmKIsvWBB8nIdJpkeyZJM4kxX235slggfx1AVVXzUUY5cI1wJB3LwiaK0EFFgAB5B4xBZohMxLkOp40pOdH_xTdpbSBgBKQFgweKEhUqJudGPTdymr9tmuq_sYqXUj-Sy6zvfb7MvFxlUtpXN2Elyb6OLnLtn7_d3b6jFfPz88rW7XeS1QjzmScKiCk-A9IAYFwhTa88I7oStplKqDlpwHotpUhSApDXLhVamCr7EQS3Y19w6x_9xRGu2m38Vuemk5aKHRGCinFM6pOvYpRQp2iM3Wxb1FsIdh7J9hJobPTJqy3QfF3-b_oW8ZGGNn</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2063619908</pqid></control><display><type>article</type><title>Representations by uncorrelated random variables</title><source>SpringerLink Journals - AutoHoldings</source><creator>Móri, T. F. ; Székely, G.-J.</creator><creatorcontrib>Móri, T. F. ; Székely, G.-J.</creatorcontrib><description>All multivariate random variables with finite variances are univariate functions of uncorrelated random variables and if the multivariate distribution is absolutely continuous then these univariate functions are piecewise linear. They can be independent of the correlations in the Gaussian case.</description><identifier>ISSN: 1066-5307</identifier><identifier>EISSN: 1934-8045</identifier><identifier>DOI: 10.3103/S1066530717020041</identifier><language>eng</language><publisher>New York: Allerton Press</publisher><subject>Continuity (mathematics) ; Mathematical analysis ; Mathematics and Statistics ; Normal distribution ; Random variables ; Statistical Theory and Methods ; Statistics</subject><ispartof>Mathematical methods of statistics, 2017-04, Vol.26 (2), p.149-153</ispartof><rights>Allerton Press, Inc. 2017</rights><rights>Copyright Springer Science & Business Media 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-1e3a15fa40dd011f503976d27da36b4955cf6422feec9b73e449123d585fdc173</citedby><cites>FETCH-LOGICAL-c316t-1e3a15fa40dd011f503976d27da36b4955cf6422feec9b73e449123d585fdc173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.3103/S1066530717020041$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.3103/S1066530717020041$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Móri, T. F.</creatorcontrib><creatorcontrib>Székely, G.-J.</creatorcontrib><title>Representations by uncorrelated random variables</title><title>Mathematical methods of statistics</title><addtitle>Math. Meth. Stat</addtitle><description>All multivariate random variables with finite variances are univariate functions of uncorrelated random variables and if the multivariate distribution is absolutely continuous then these univariate functions are piecewise linear. They can be independent of the correlations in the Gaussian case.</description><subject>Continuity (mathematics)</subject><subject>Mathematical analysis</subject><subject>Mathematics and Statistics</subject><subject>Normal distribution</subject><subject>Random variables</subject><subject>Statistical Theory and Methods</subject><subject>Statistics</subject><issn>1066-5307</issn><issn>1934-8045</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kEtLxEAQhAdRcF39Ad4CnqPd80rmKIsvWBB8nIdJpkeyZJM4kxX235slggfx1AVVXzUUY5cI1wJB3LwiaK0EFFgAB5B4xBZohMxLkOp40pOdH_xTdpbSBgBKQFgweKEhUqJudGPTdymr9tmuq_sYqXUj-Sy6zvfb7MvFxlUtpXN2Elyb6OLnLtn7_d3b6jFfPz88rW7XeS1QjzmScKiCk-A9IAYFwhTa88I7oStplKqDlpwHotpUhSApDXLhVamCr7EQS3Y19w6x_9xRGu2m38Vuemk5aKHRGCinFM6pOvYpRQp2iM3Wxb1FsIdh7J9hJobPTJqy3QfF3-b_oW8ZGGNn</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Móri, T. F.</creator><creator>Székely, G.-J.</creator><general>Allerton Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope></search><sort><creationdate>20170401</creationdate><title>Representations by uncorrelated random variables</title><author>Móri, T. F. ; Székely, G.-J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-1e3a15fa40dd011f503976d27da36b4955cf6422feec9b73e449123d585fdc173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Continuity (mathematics)</topic><topic>Mathematical analysis</topic><topic>Mathematics and Statistics</topic><topic>Normal distribution</topic><topic>Random variables</topic><topic>Statistical Theory and Methods</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Móri, T. F.</creatorcontrib><creatorcontrib>Székely, G.-J.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Mathematical methods of statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Móri, T. F.</au><au>Székely, G.-J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Representations by uncorrelated random variables</atitle><jtitle>Mathematical methods of statistics</jtitle><stitle>Math. Meth. Stat</stitle><date>2017-04-01</date><risdate>2017</risdate><volume>26</volume><issue>2</issue><spage>149</spage><epage>153</epage><pages>149-153</pages><issn>1066-5307</issn><eissn>1934-8045</eissn><abstract>All multivariate random variables with finite variances are univariate functions of uncorrelated random variables and if the multivariate distribution is absolutely continuous then these univariate functions are piecewise linear. They can be independent of the correlations in the Gaussian case.</abstract><cop>New York</cop><pub>Allerton Press</pub><doi>10.3103/S1066530717020041</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1066-5307 |
ispartof | Mathematical methods of statistics, 2017-04, Vol.26 (2), p.149-153 |
issn | 1066-5307 1934-8045 |
language | eng |
recordid | cdi_proquest_journals_2063619908 |
source | SpringerLink Journals - AutoHoldings |
subjects | Continuity (mathematics) Mathematical analysis Mathematics and Statistics Normal distribution Random variables Statistical Theory and Methods Statistics |
title | Representations by uncorrelated random variables |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T01%3A13%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Representations%20by%20uncorrelated%20random%20variables&rft.jtitle=Mathematical%20methods%20of%20statistics&rft.au=M%C3%B3ri,%20T.%20F.&rft.date=2017-04-01&rft.volume=26&rft.issue=2&rft.spage=149&rft.epage=153&rft.pages=149-153&rft.issn=1066-5307&rft.eissn=1934-8045&rft_id=info:doi/10.3103/S1066530717020041&rft_dat=%3Cproquest_cross%3E2063619908%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2063619908&rft_id=info:pmid/&rfr_iscdi=true |