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On Limit Distribution of Maximal Deviation of Empirical Distribution Density and Regression Function. II

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Publication:2882773
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DOI10.1137/S0040585X97985297zbMath1397.62164OpenAlexW4242082118MaRDI QIDQ2882773

M. S. Muminov

Publication date: 7 May 2012

Published in: Theory of Probability & Its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/s0040585x97985297


zbMATH Keywords

confidence regionregression functiondistribution densitylocal stationarity of random fieldsnonparametric kernel estimatessequence of random vectorstesting statistical hypothesisWiener process with multidimensional parameter


Mathematics Subject Classification ID

Random fields (60G60) Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Extreme value theory; extremal stochastic processes (60G70)


Related Items (3)

A simple approach to construct confidence bands for a regression function with incomplete data ⋮ A note on the performance of bootstrap kernel density estimation with small re-sample sizes ⋮ On the maximal deviation of kernel regression estimators with NMAR response variables






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