Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Optimal aggregation of multiple signals: Optimality of linear aggregation rule and possibility of using the maximum or the minimum of signals

Full metadata record
DC Field Value Language
dc.contributor.authorLee, S.-H.-
dc.contributor.authorLee, J.-
dc.date.accessioned2021-09-05T16:09:17Z-
dc.date.available2021-09-05T16:09:17Z-
dc.date.created2021-06-17-
dc.date.issued2014-
dc.identifier.issn1229-2893-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/100809-
dc.description.abstractAn optimal aggregation rule of multiple signals is studied. A sufficient condition for the optimality of a linear aggregation rule (the weighted sum of signals) and the common classes of signal distributions satisfying the condition are provided. Other aggregation rules such as rules using the maximum or the minimum are also considered and their usefulness is illustrated through examples. © 2014 Korean Econometric Society. All Rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherKorean Econometric Society-
dc.titleOptimal aggregation of multiple signals: Optimality of linear aggregation rule and possibility of using the maximum or the minimum of signals-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, S.-H.-
dc.identifier.scopusid2-s2.0-84919965545-
dc.identifier.bibliographicCitationJournal of Economic Theory and Econometrics, v.25, no.4, pp.71 - 81-
dc.relation.isPartOfJournal of Economic Theory and Econometrics-
dc.citation.titleJournal of Economic Theory and Econometrics-
dc.citation.volume25-
dc.citation.number4-
dc.citation.startPage71-
dc.citation.endPage81-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART001941034-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorLinear Aggregation-
dc.subject.keywordAuthorRule using the Maximum or the Minimum-
dc.subject.keywordAuthorSignal Aggregation-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Political Science & Economics > Department of Economics > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher LEE, Sam Ho photo

LEE, Sam Ho
정경대학 (경제학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE