Skip Navigation

Biometrika 1978 65(3):650-653; doi:10.1093/biomet/65.3.650
© 1978 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 SCHUCANY, W. R.
Right arrow Articles by BOYER, J. E.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

MISCELLANEA

Correlation structure in Farlie-Gumbel-Morgenstern distributions

WILLIAM R. SCHUCANY, WILLIAM C. PARR and JOHN E. BOYER

Department of Statistics, Southern Methodist University Dallas, Texas

Several measures of dependence are examined for the Farlie-Gumbel-Morgenstern system, F, of joint distributions. Some bounds and relationships are shown for product-moment correlation coefficients and rank correlation coefficients. While the F system is an interesting construction for specified marginals, it is limited to describing weak dependence. A quality control application using a related screening variable is given.

Key Words: Distribution-free • Grade correlation • Rank correlation • Regression • Screening variable • Specified marginal


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.