Some strong limit theorems for M-estimators-Reference-Cited by-同舟云学术

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Some strong limit theorems for M-estimators

Published:1994-10 Issue:2 Volume:53 Page:241-268
ISSN:0304-4149
Container-title:Stochastic Processes and their Applications
language:en
Short-container-title:Stochastic Processes and their Applications

Author:

Arcones Miguel A.

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation,Statistics and Probability

Reference17 articles.

1. An Introduction to Continuity;Adler,1990

2. The law of the iterated logarithm for U-processes;Arcones;J. Mult. Anal.,1993

3. Asymptotics of M-estimators under unusual rates;Arcones;Statist. Probab. Lett.,1994

4. A general approach to the Bahadur-Kiefer representations for M-estimators;Arcones;J. Mult. Anal.,1992

5. A functional L.I.L. approach to pointwise Bahadur-Kiefer theorems;Deheuvels,1992

Cited by 9 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. Strong convergence of estimators as ε n -minimisers of optimisation problemsof optimisation problems;Annals of the Institute of Statistical Mathematics;2005-06

2. Strong convergence of estimators in nonlinear autoregressive models;Journal of Multivariate Analysis;2003-02

3. A "Delta Method" Approach to Bahadur-Kiefer Theorems;Scandinavian Journal of Statistics;1998-09

4. Second Order Representations of the Least Absolute Deviation Regression Estimator;Annals of the Institute of Statistical Mathematics;1998-03

5. The Bahadur-Kiefer Representation of the Two Dimensional Spatial Medians;Annals of the Institute of Statistical Mathematics;1998-03

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