Simultaneous robust estimation of location and scale parameters: A minimum-distance approach

DOI10.2307/3315506zbMath0914.62020OpenAlexW2060761046MaRDI QIDQ4223822

Thomas P. Hettmansperger, Omer Ozturk

Publication date: 21 June 1999

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315506

zbMATH Keywords

robustnessinfluence functionsimulationstrimmed meanbreakdown pointCramer-von Mises distance

Mathematics Subject Classification ID

Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (2)

Robust joint estimation of location and scale parameters in ranked set samples ⋮ Minimum distance estimation in imprecise probability models

Uses Software

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Cites Work

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• Von Mises calculus for statistical functionals
• Minimum distance estimation in a linear regression model
• Optimal estimation of a general regression function
• Minimum distance estimators
• Pathologies of some minimum distance estimators
• The ``automatic robustness of minimum distance functionals
• The Minimum Distance Method
• On minimum cramer-von mises-norm parameter estimation
• Minimum mean squared estimation of location and scale parameters under misspecification of the model
• Minimum Distance Estimators for Location and Goodness of Fit
• Minimum Distance and Robust Estimation

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