Blockwise bootstrap of the estimated empirical process based on $$\psi $$ ψ -weakly dependent observations

Author:

Wieczorek Barbara

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Reference26 articles.

1. Andrews DWK (1984) Non-strong mixing autoregressive processes. J Appl Prob 21:930–934

2. Babu GJ, Rao CR (2004) Goodness-of-fit tests when parameters are estimated. Sankyha 66:63–74

3. Babu GJ, Singh K (1984) Asymptotic representiations related to jackknifing and bootstrapping L-statistics. Sankyha 46:195–206

4. Bühlmann P (1994) Blockwise bootstrapped empirical process for stationary sequences. Ann Stat 22:995–1012

5. Bühlmann P (1995) The blockwise bootstrap for general empirical processes of stationary sequences. Stoch Proc Appl 58:247–265

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1. A bootstrap functional central limit theorem for time-varying linear processes;Journal of Nonparametric Statistics;2023-11-27

2. Bootstrapping sample quantiles of discrete data;Annals of the Institute of Statistical Mathematics;2015-02-20

3. Dependent Wild Bootstrap for the Empirical Process;Journal of Time Series Analysis;2015-02-03

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