Rendering parametric procedures more robust by empirically tilting the model

DOI10.1093/biomet/87.2.453zbMath0948.62022OpenAlexW2153008053MaRDI QIDQ4506038

Hall, Peter, Presnell, Brett, Edwin Choi

Publication date: 2000

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/87.2.453

zbMATH Keywords

bootstrapweighted bootstrapHellinger distanceexponential familyKullback-Leibler distanceinfluence curvebreakdown propertiespower-divergence

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35) Graphical methods in statistics (62A09)

Related Items (8)

Maximum L\(q\)-likelihood estimation ⋮ Choosing a robustness tuning parameter ⋮ APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001 ⋮ Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood ⋮ Reliable inference for complex models by discriminative composite likelihood estimation ⋮ Weighted empirical likelihood estimates and their robustness properties ⋮ Depth-based weighted empirical likelihood and general estimating equations ⋮ The MM, ME, ML, EL, EF and GMM approaches to estimation: a synthesis.

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