A Bayesian Synthesis Approach to Data Fusion Using Data-Dependent Priors. (2nd January 2017)

Record Type:: Journal Article
Title:: A Bayesian Synthesis Approach to Data Fusion Using Data-Dependent Priors. (2nd January 2017)
Main Title:: A Bayesian Synthesis Approach to Data Fusion Using Data-Dependent Priors
Authors:: Marcoulides, Katerina M.
Abstract:
Is Part Of:: Multivariate behavioral research. Volume 52:Number 1(2017)
Journal:: Multivariate behavioral research
Issue:: Volume 52:Number 1(2017)
Issue Display:: Volume 52, Issue 1 (2017)
Year:: 2017
Volume:: 52
Issue:: 1
Issue Sort Value:: 2017-0052-0001-0000
Page Start:: 111
Page End:: 112
Publication Date:: 2017-01-02
Subjects:: Psychometrics -- Periodicals
Psychology, Experimental -- Periodicals
Psychology, Experimental
Psychometrics
Periodicals
150.15195
Journal URLs:: http://www.tandfonline.com/loi/hmbr20#.VysHt1L2aic ↗
http://www.tandfonline.com/ ↗
DOI:: 10.1080/00273171.2016.1263927 ↗
Languages:: English
ISSNs:: 0027-3171
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 5983.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 1124.xml