The least trimmed squares. Part I: Consistency (original) (raw)

On the Least Trimmed Squares Estimator

Christine Piatko

Algorithmica, 2014

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New algorithms for computing the least trimmed squares estimator

Yijun Zuo

2022

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Asymptotics for the least trimmed squares estimator

Yijun Zuo

arXiv (Cornell University), 2022

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The multivariate least trimmed squares estimator

Stefan Van Aelst

DTEW Research Report 0224, 2002

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Combining Some Biased Estimation Methods with Least Trimmed Squares Regression and its Application

Betül Kan Kılınç

Revista Colombiana de Estadística, 2015

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Least sum of squares of trimmed residuals regression

Yijun Zuo

2022

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Asymptotic normality of the least sum of squares of trimmed residuals estimator

Yijun Zuo

2022

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Analysis of Efficiency of Least Trimmed Square and Least Median Square Methods in The Estimation of Robust Regression Parameters

hamdan abdi

2020

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The Comparing of S-estimator and M-estimators in Linear Regression

Onur Toka

Gazi University Journal of Science, 2011

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General Trimmed Estimation: Robust Approach to Nonlinear and Limited Dependent Variable Models

P. Cizek

Econometric Theory, 2008

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A comparison of robust estimators based on two types of trimming

Probal Chaudhuri

AStA Advances in Statistical Analysis, 2008

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Reshetov LA Necessary and su cient conditions for superiority of misspeci ed restricted least squares regression estimator

Леонид Решетов

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Efficiency gains in least squares estimation: A new approach

Mike Tsionas

Econometric Reviews

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Results on the bias and inconsistency of ordinary least squares for the linear probability model

William Horrace, Ronald Oaxaca

Economics Letters, 2006

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Adaptive trimmed likelihood estimation in regression

Brenton R Clarke

Discussiones Mathematicae Probability and Statistics, 2010

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On equality and proportionality of ordinary least squares, weighted least squares and best linear unbiased estimators in the general linear model

Tian Yongge

Statistics & Probability Letters, 2006

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A Treatise on Ordinary Least Squares Estimation of Parameters of Linear Model

B Mahaboob

International Journal of Engineering & Technology, 2018

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Superiority of the r-d class estimator over some estimators by the mean square error matrix criterion

Angel Vincent

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Sequential estimation in regression models using analogues of trimmed means

Adam Martinsek

Annals of the Institute of Statistical Mathematics, 1989

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Applications of Some Improved Estimators in Linear Regression

B M Golam Kibria

Journal of Modern Applied Statistical Methods, 2005

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Reshetov LA Some Comments on Six Inequalities Associated With the Inefficiency of Ordinary Least Squares With One Regressor

Леонид Решетов

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On choosing estimators'in a simple linear errors-in-variables model

Spiridon Penev

Communications in Statistics - Theory and Methods, 1993

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On choosing an optimally trimmed mean

Jackson Paul

Communications in Statistics-simulation and Computation, 1991

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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares

Hassan S. Uraibi

2009

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Consistency of the structured total least squares estimator in a multivariate errors-in-variables model

Sabine Huffel

Journal of Statistical Planning and Inference, 2005

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Efficient Estimation: The Rao-Zyskind Condition, Kruskal's Theorem and Ordinary Least Squares*

Michael McAleer

Economic Record, 1992

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Breakdown points of trimmed likelihood estimators and related estimators in generalized linear models

Neyko Neykov

2001

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Unbiased estimation of the MSE matrices of improved estimators in linear regression

Anoop Chaturvedi

Journal of Applied Statistics

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An Exact Least Trimmed Squares Algorithm for a Range of Coverage Values

Cristian Gatu

Journal of Computational and Graphical Statistics, 2010

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Two and Three Stage Least Squares as Aitken estimators

Spyros Missiakoulis

Journal of Statistical and Econometric Methods, 2020

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Estimators for the errors-in-variables model

Angel Garza

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An Investigation Into Properties of Jackknifed and Bootstrapped Liu-Type Estimator

Mansi Khurana

Far East Journal of Mathematical Sciences (FJMS), 2018

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Superiority of the class estimator over some estimators by the mean square error matrix criterion

M.Revan Özkale

Statistics & Probability Letters, 2007

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