z-logo
open-access-imgOpen Access
Block bootstrap optimality and empirical block selection for sample quantiles with dependent data
Author(s) -
Todd A. Kuffner,
S M S Lee,
G. A. Young
Publication year - 2020
Publication title -
biometrika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.307
H-Index - 122
eISSN - 1464-3510
pISSN - 0006-3444
DOI - 10.1093/biomet/asaa075
Subject(s) - quantile , estimator , mathematics , sample size determination , block (permutation group theory) , selection (genetic algorithm) , statistics , sample (material) , convergence (economics) , block size , distribution (mathematics) , mathematical optimization , computer science , combinatorics , artificial intelligence , economics , mathematical analysis , chemistry , computer security , chromatography , key (lock) , economic growth

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom