Skip Navigation

Biometrika 2001 88(4):1105-1119; doi:10.1093/biomet/88.4.1105
© 2001 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 Paparoditis, E.
Right arrow Articles by Politis, D. N.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Tapered block bootstrap

Efstathios Paparoditis1 and Dimitris N.Politis2

1 Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus stathisp{at}ucy.ac.cy 2 Department of Mathematics, University of California, San Diego, La Jolla, California 92093-0112, U.S.Adpolitis{at}ucsd.edu

We introduce and study tapered block bootstrap methodology that yields an improvement over the well-known block bootstrap for time series of Künsch (1989).The asymptotic validity and the favourable bias properties of the tapered block bootstrap are shown. The important practical issues of optimally choosing the window shape and the block size are addressed in detail, while some finite-sample simulations are presented validating the good performance of the tapered block bootstrap.

Key Words: Bias; Confidence interval; Resampling; Spectral density estimation; Subsampling; Time series; Variance estimation


Received May 2000. Revised January 2001


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
BiometrikaHome page
S. M. S. Lee and P. Y. Lai
Double block bootstrap confidence intervals for dependent data
Biometrika, June 1, 2009; 96(2): 427 - 443.
[Abstract] [PDF]


Home page
BiometrikaHome page
D. J. Nordman
Tapered empirical likelihood for time series data in time and frequency domains
Biometrika, March 1, 2009; 96(1): 119 - 132.
[Abstract] [PDF]



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.