Minimum distance density-based estimation

DOI10.1016/0167-9473(94)00065-4zbMath0875.62157OpenAlexW1979850770WikidataQ61849377 ScholiaQ61849377MaRDI QIDQ673149

Ricardo Fraiman, Antonio Cuevas, Ricardo Cao

Publication date: 28 February 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(94)00065-4

zbMATH Keywords

Bandwidth selectionKernel density estimatorsMinimum distance estimatorsMixture parametersQualitative robustness

Mathematics Subject Classification ID

Density estimation (62G07) Point estimation (62F10)

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Cites Work

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• Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems
• Bootstrap choice of tuning parameters
• Uniqueness and Fréchet differentiability of functional solutions to maximum likelihood type equations
• The double kernel method in density estimation
• A class of linear regression parameter estimators constructed by nonparametric estimation
• Some asymptotics for multimodality tests based on kernel density estimates
• A comparative study of several smoothing methods in density estimation
• Progress in data-based bandwidth selection for kernel density estimation
• Counting bumps
• Estimators for the parameters of a finite mixture of distributions
• Some recent research in the analysis of mixture distributions
• The Minimum Distance Method
• General m-esttmators and applications to bounded influence estimation for non-linear regression
• A Comparison of Minimum Distance and Maximum Likelihood Estimation of a Mixture Proportion
• Estimation of mixing proportions via distance between characteristic functions
• Density Estimation and Bump-Hunting by the Penalized Likelihood Method Exemplified by Scattering and Meteorite Data
• Minimum Distance and Robust Estimation
• Estimating Mixtures of Normal Distributions and Switching Regressions
• On Qualitative Smoothness of Kernel Density Estimates¹
• A General Qualitative Definition of Robustness
• A comparison of some methods for estimating mixed normal distributions
• Robust Statistics