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January, 1979 Further Remarks on Robust Estimation in Dependent Situations
Stephen L. Portnoy
Ann. Statist. 7(1): 224-231 (January, 1979). DOI: 10.1214/aos/1176344568

Abstract

Results of an earlier paper giving first order optimal robust $M$-estimators of a location parameter in certain dependent situations are extended to the case where the dependency can be modeled by a symmetric form of a $(2k + 1)$st order moving average scheme. It is also shown that the results can not be extended to finding second order optimal $M$-estimators. That is, no $M$-estimators can be optimal to the second order unless they explicitly adapt themselves to the assumed model for dependency.

Citation

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Stephen L. Portnoy. "Further Remarks on Robust Estimation in Dependent Situations." Ann. Statist. 7 (1) 224 - 231, January, 1979. https://doi.org/10.1214/aos/1176344568

Information

Published: January, 1979
First available in Project Euclid: 12 April 2007

zbMATH: 0399.62038
MathSciNet: MR515697
Digital Object Identifier: 10.1214/aos/1176344568

Subjects:
Primary: 62G35
Secondary: 62F10

Keywords: approximate asymptotic optimality over $\arepsilon$-contaminated normals , dependent observations , robust estimation

Rights: Copyright © 1979 Institute of Mathematical Statistics

Vol.7 • No. 1 • January, 1979
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