Skip Navigation

Biometrika 1976 63(3):661-670; doi:10.1093/biomet/63.3.661
© 1976 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 DAVIS, A. W.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Statistical distributions in univariate and multivariate Edgeworth populations

A. W. DAVIS

G.S.I.R.O. Division of Mathematics and Statistics Adelaide

A general method is presented for the formal construction of statistical distributions in univariate and multivariate populations, when the underlying distributions are specifiable by Edgeworth-type expansions. It is shown that the distribution of a statistic may be derived in principle from the appropriate normal-theory noncentral distribution, by means of a symbolic expectation operator. This provides a unified approach to the results of numerous investigations into the effects of nonnormality on various well-known statistics.

Key Words: Gram-Charlier type A series • Multivariate statistics • Noncentral distribution • Nonnormal distribution


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.