The law of the iterated logarithm and maximal smoothing principle for the kernel distribution function estimator
DOI10.1080/10485252.2021.1902519zbMath1472.62048OpenAlexW3138360939MaRDI QIDQ5012340
Publication date: 1 September 2021
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2021.1902519
bandwidthlaw of the iterated logarithmsmoothed bootstrapkernel distribution function estimatormaximal smoothing principle
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Strong limit theorems (60F15) Functional limit theorems; invariance principles (60F17)
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Cites Work
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