Multiplicative bias correction for asymmetric kernel density estimators revisited (Q2007997)

scientific article; zbMATH DE number 7135455

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English	Multiplicative bias correction for asymmetric kernel density estimators revisited	scientific article; zbMATH DE number 7135455

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instance of

scholarly article

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title

Multiplicative bias correction for asymmetric kernel density estimators revisited (English)

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Computational Statistics and Data Analysis

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publication date

22 November 2019

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full work available at URL

http://hdl.handle.net/2241/00153036

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zbMATH Keywords

multiplicative bias correction

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nonparametric density estimation

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boundary bias problem

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asymmetric kernel

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shoulder condition

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describes a project that uses

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Empirical likelihood confidence intervals for nonparametric density estimation

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Beta kernel estimators for density functions

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Probability density function estimation using gamma kernels

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On kernel estimators of density ratio

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Nonparametric density estimation for multivariate bounded data using two non-negative multiplicative bias correction methods

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Local multiplicative bias correction for asymmetric kernel density estimators

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Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval

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Nonnegative bias reduction methods for density estimation using asymmetric kernels

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Family of the generalised gamma kernels: a generator of asymmetric kernels for nonnegative data

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Bias reductions for beta kernel estimation

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Weighted log-normal kernel density estimation

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On improving convergence rate of Bernstein polynomial density estimator

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Re-formulation of inverse Gaussian, reciprocal inverse Gaussian, and Birnbaum-Saunders kernel estimators

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Bias corrections for some asymmetric kernel estimators

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Generalised gamma kernel density estimation for nonnegative data and its bias reduction

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Limiting bias-reduced Amoroso kernel density estimators for non-negative data

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Generalized jackknifing and higher order kernels

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A simple bias reduction method for density estimation

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Nonparametric density estimation for nonnegative data, using symmetrical-based inverse and reciprocal inverse Gaussian kernels through dual transformation

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Large sample results for varying kernel regression estimates

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A bias-reduced approach to density estimation using Bernstein polynomials

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Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data

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Q4307750

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On Estimation of a Probability Density Function and Mode

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Remarks on Some Nonparametric Estimates of a Density Function

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Density estimation using inverse and reciprocal inverse Gaussian kernels

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Improvement of Kernel Type Density Estimators

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Q4727203

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On improving convergence rates for nonnegative kernel density estimators

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Q4865051

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An Improved Estimator of the Density Function at the Boundary

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Multiplicative bias correction for generalized Birnbaum-Saunders kernel density estimators and application to nonnegative heavy tailed data

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Multivariate generalized Birnbaum—Saunders kernel density estimators

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Identifiers

Mathematics Subject Classification ID

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10.1016/J.CSDA.2019.06.010

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Sitelinks

Mathematics(1 entry)

mardi Publication:2007997