Estimation of a quantile in some nonstandard cases
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Publication:1895439
DOI10.1007/BF00773415zbMath0822.62021OpenAlexW2087584982MaRDI QIDQ1895439
Publication date: 18 October 1995
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf00773415
asymptotic normalitymean squared errorcentral limit theoremlaw of iterated logarithmoptimal convergence ratekernel quantile estimatornecessary conditionasymptotically optimal bandwithsample quantile estimator
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
Cites Work
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- Relative deficiency of kernel type estimators of quantiles
- Asymptotic normality of the kernel quantile estimator
- Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
- Kernel Quantile Estimators
- A Smooth Nonparametric Estimator of a Quantile Function
- Upper and lower classes for triangular arrays
- An approximation of partial sums of independent RV'-s, and the sample DF. I
- Nonparametric Statistical Data Modeling
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