EconPapers    
Economics at your fingertips  
 

Best unbiased estimates for parameters of three-level multivariate data with doubly exchangeable covariance structure

Arkadiusz Koziol, Anuradha Roy, Roman Zmyślony (), Ricardo Leiva and Miguel Fonseca
Additional contact information
Anuradha Roy: UTSA

Working Papers from College of Business, University of Texas at San Antonio

Abstract: The article addresses the best unbiased estimators of doubly exchangeable covariance structure for three-level data, an extension of the block compound symmetry covariance structure. Under multivariate normality, the free-coordinate approach is used to obtain linear and quadratic estimates for the model parameters that are su_cient, complete, unbiased and consistent. Data from a clinical study is analyzed to illustrate the application of the obtained results.

Keywords: Best unbiased estimator; doubly exchangeable covariance structure; three-level multivariate data; coordinate free approach; unstructured mean vector. (search for similar items in EconPapers)
JEL-codes: F10 H12 J10 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2016-08-09
New Economics Papers: this item is included in nep-ecm
References: Add references at CitEc
Citations:

Published in Review of Economics, March 1999, pages 1-23

Downloads: (external link)
http://interim.business.utsa.edu/wps/mss/0003MSS-253-2016.pdf Full text (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsa:wpaper:0149mss

Access Statistics for this paper

More papers in Working Papers from College of Business, University of Texas at San Antonio Contact information at EDIRC.
Bibliographic data for series maintained by Wendy Frost ().

 
Page updated 2024-12-29
Handle: RePEc:tsa:wpaper:0149mss