Skip Navigation

Biometrika 1982 69(1):252-256; doi:10.1093/biomet/69.1.252
© 1982 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 PADGETT, W. J.
Right arrow Articles by WEI, L. J.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

MISCELLANEA

Estimation of the ratio of scale parameters in the two sample problem with arbitrary right censorship

W. J. PADGETT and L. J. WEI

Department of Mathematics and Statistics, University of South Carolina Columbia, South Carolina, U.S.A.
Department of Statistics, George Washington University Washington, D.C., U.S.A.

A two-sample version of the Cramér-von Mises statistic for right censored observations is used to obtain a strongly consistent estimator of the ratio of scale parameters of two distributions. This estimator can be easily obtained in a closed form. Under various survival models, simulation studies are performed to show the advantages of the proposed estimator.

Key Words: Consistency • Cramer-von Mises distance • Hodges & Lehmann estimator • Kaplan-Meier estimator • Right censorship • Scale parameter


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.