Skip Navigation

Biometrika 1986 73(3):555-566; doi:10.1093/biomet/73.3.555
© 1986 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 DVISON, A. C.
Right arrow Articles by SCHECHTMAN, E.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Efficient bootstrap simulation

A. C. DVISON, D. V. HINKLEY and E. SCHECHTMAN

Department of Mathematics, Imperial College London SW7 2BZ, U.K.
Center for Statistical Sciences, University of Texas Austin, Texas 78712, U.S.A.
Department of Agricultural Economics, Hebrew University Rehovot 76100, Israel

Bootstrap methods are simulation methods for assessing sampling properties of statistical estimates. We discuss two ideas for making the simulation more efficient. The first idea is to balance the simulated samples, and the second idea is to make explicit use approximations which do not require simulation. Both ideas are illustrated with three examples.

Key Words: Balanced samples • Bias • Bootstrap • Correlation • Eigenvalue • Hypergeometric distribution • Jakknife • Mean • Normal approximation • Permutation


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
 J. Neurosci.Home page
U. Kraushaar and P. Jonas
Efficacy and Stability of Quantal GABA Release at a Hippocampal Interneuron-Principal Neuron Synapse
J. Neurosci., August 1, 2000; 20(15): 5594 - 5607.
[Abstract] [Full Text] [PDF]

Home page
 Educational and Psychological MeasurementHome page
Z. V. Lambert, A. R. Wildt, and R. M. Durand
Bias Approximations for Complex Estimators: An Application to Redundancy Analysis
Educational and Psychological Measurement, March 1, 1991; 51(1): 1 - 14.
[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.