Skip Navigation

Biometrika 1983 70(2):485-489; doi:10.1093/biomet/70.2.485
© 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 HALL, P.
Right arrow Articles by WELSH, A. H.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

MISCELLANEA

A test for normality based on the empirical characteristic function

PETER HALL and A. H. WELSH

Department of Statistics, The Faculties, Australian National University Canberra, A.C.T., Australia

We present a simple test for normality against the alternative that the underlying distribution is long tailed. The test is based on the behaviour of the empirical characteristic function in the neighbourhood of the origin, and is very competitive with several well-known tests for normality.

Key Words: Empirical characteristic function • Power • Test for normality.


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


This article has been cited by other articles:


Home page
 Educational and Psychological MeasurementHome page
S. M. Bajgier and L. K. Aggarwal
Powers of Goodness-of-Fit Tests in Detecting Balanced Mixed Normal Distributions
Educational and Psychological Measurement, June 1, 1991; 51(2): 253 - 269.
[Abstract]


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.