Author:
Bednarski T.,Clarke B. R.,Kolkiewicz W.
Abstract
AbstractEstimators which have locally uniform expansions are shown in this paper to be asymptotically equivalent to M-estimators. The M-functionals corresponding to these M-estimators are seen to be locally uniformly Fréchet differentiable. Other conditions for M-functionals to be locally uniformly Fréchet differentiable are given. An example of a commonly used estimator which is robust against outliers is given to illustrate that the locally uniform expansion need not be valid.
Publisher
Cambridge University Press (CUP)
Subject
General Mathematics,Statistics and Probability
Reference17 articles.
1. Nonsmooth analysis and Fréchet differentiability of M-functionals
2. Von Mises functions and maximum likelihood estimation;Kallianpur;Sankhya Ser. A,1963
3. A Robust Asymptotic Testing Model
4. Non- and semi-parametric maximum likelihood estimators and the von Mises method (Part 1);Gill;Scand. J. Statist.,1989
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. BIBLIOGRAPHY;Robustness Theory and Application;2018-08-06
2. Robust Estimation: Multivariate Perspectives;Methodology in Robust and Nonparametric Statistics;2012-07-20
3. Robust Statistics;Handbook of Computational Statistics;2011-12-21
4. A fast robust method for fitting gamma distributions;Statistical Papers;2011-09-30
5. Fréchet differentiability in statistical inference for time series;Statistical Methods & Applications;2010-06-24