Almost sure lim sup behavior of bootstrapped means with applications to pairwise i. i. d. sequences and stationary ergodic sequences

DOI10.1016/S0378-3758(00)00322-0zbMath0977.62051OpenAlexW2155396744WikidataQ105583824 ScholiaQ105583824MaRDI QIDQ5950617

Andrew Rosalsky, Andrei I. Volodin, De Li Li, S. Ejaz Ahmed

Publication date: 2 January 2002

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(00)00322-0

zbMATH Keywords

strong law of large numberslaw of iterated logarithmbootstrapped meanspairwise i.i.d. sequencesstationary ergodic sequences

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Strong limit theorems (60F15)

Related Items

A central limit theorem for bootstrap sample sums from non-i.i.d. models, General Weak Laws of Large Numbers for Bootstrap Sample Means, Nonparametric statistics of dynamic networks with distinguishable nodes, Large and moderate deviation principles for the bootstrap sample quantile, A law of the single logarithm for weighted sums of arrays applied to bootstrap model selection in regression, Generic Consistency for Approximate Stochastic Programming and Statistical Problems, A large deviation principle for bootstrapped sample means, Almost Sure lim sup Behavior of Dependent Bootstrap Means

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