scientific article

zbMath0792.62034MaRDI QIDQ4022010

Jan Ámos Víšek

Publication date: 17 January 1993

Full work available at URL: https://eudml.org/doc/28933

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

asymptotic normalitynumerical examplesadaptive estimatorasymptotic representationkernel density estimatorsdistribution of residualsminimizing Hellinger distance

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (2)

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Cites Work

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• Minimum distance estimation in a linear regression model
• On adaptive estimation
• Adaptive maximum likelihood estimators of a location parameter
• An efficient and robust adaptive estimator of location
• Adaptive \(L\)-estimation for linear models
• Asymptotic behavior of general M-estimates for regression and scale with random carriers
• Trimmed Least Squares Estimation in the Linear Model
• Regression Quantiles

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