Skip Navigation

Biometrika 1983 70(1):289-292; doi:10.1093/biomet/70.1.289
© 1983 by Biometrika Trust
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by SKINNER, C. J.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

MISCELLANEA

Multivariate prediction from selected samples

C. J. SKINNER

Department of Social Statistics, University of Southampton

Minimum variance unbiased predictors of the mean vector and covariance matrix of a finite population are obtained under the assumption that the population values obey a given linear model. An example is given of stratified sampling.

Key Words: Finite population • Lehmann-Scheffé theorem • Prediction • Stratified sampling


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.