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
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