Skip Navigation

Biometrika 1996 83(2):477-483; doi:10.1093/biomet/83.2.477
© 1996 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 YIP, P. S. F.
Right arrow Articles by LIN, D. Y.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?


MISCELLANEA

Inference for capture-recapture experiments in continuous time with variable capture rates

PAUL S. F. YIP1, RICHARD M. HUGGINS2 and D. Y. LIN3

1Department of Statistics, University of Hong Kong Pokfulam Road, Hong Kong
2Department of Statistics, La Trobe University Bundoora, Victoria 3083, Australia
3Department of Biostatistics, University of Washington Seattle, Washington 98195, U. S. A

A two-step procedure based on a partial likelihood is proposed to estimate the size of a closed population for multiple recapture studies in continuous time when the capture rates are permitted to depend on covariates associated with individuals. The asymptotic and small-sample properties of the resulting estimators are investigated.

Key Words: Capture-recapture experiment • Covariate • Martingale • Partial likelihood


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.