Abstract
Under fairly general assumptions on the underlying distribution function, the bootstrap process, pertaining to the sample q-quantile, converges weakly in DR to the standard Brownian motion. Furthermore, weak convergence of a smoothed bootstrap quantile estimate is proved which entails that in this particular case the smoothed bootstrap estimate outperforms the nonsmoothed one.
Cite
CITATION STYLE
APA
Falk, M., & Reiss, R.-D. (2007). Weak Convergence of Smoothed and Nonsmoothed Bootstrap Quantile Estimates. The Annals of Probability, 17(1). https://doi.org/10.1214/aop/1176991515
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