Robust estimators in semi-functional partial linear regression models

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2016.10.005 ◽

2017 ◽

Vol 154 ◽

pp. 59-84 ◽

Author(s):

Graciela Boente ◽

Alejandra Vahnovan

Keyword(s):

Linear Regression ◽

Regression Models ◽

Robust Estimators ◽

Linear Regression Models ◽

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Local polynomial estimation in partial linear regression models under dependence

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2007.10.009 ◽

2008 ◽

Vol 52 (5) ◽

pp. 2757-2777 ◽

Author(s):

G. Aneiros-Pérez ◽

J.M. Vilar-Fernández

Keyword(s):

Linear Regression ◽

Regression Models ◽

Linear Regression Models ◽

Local Polynomial ◽

Local Polynomial Estimation ◽

Partial Linear ◽

Polynomial Estimation

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Variable bandwidth M-estimators of the partial linear regression models

2011 International Conference on Multimedia Technology ◽

10.1109/icmt.2011.6002638 ◽

2011 ◽

Author(s):

Lili Yao ◽

Xiangdong Song

Keyword(s):

Linear Regression ◽

Regression Models ◽

Linear Regression Models ◽

Variable Bandwidth ◽

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Tests for the linear hypothesis in semi-functional partial linear regression models

Metrika ◽

10.1007/s00184-018-0680-1 ◽

2018 ◽

Vol 82 (2) ◽

pp. 125-148

Author(s):

Shuzhi Zhu ◽

Peixin Zhao

Keyword(s):

Linear Regression ◽

Regression Models ◽

Linear Hypothesis ◽

Linear Regression Models ◽

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Partial Linear Regression Models for Clustered Data

Journal of the American Statistical Association ◽

10.1198/016214505000000592 ◽

2006 ◽

Vol 101 (473) ◽

pp. 195-204 ◽

Author(s):

Kani Chen ◽

Zhezhen Jin

Keyword(s):

Linear Regression ◽

Regression Models ◽

Clustered Data ◽

Linear Regression Models ◽

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Statistical inference on restricted partial linear regression models with partial distortion measurement errors

Statistica Neerlandica ◽

10.1111/stan.12089 ◽

2016 ◽

Vol 70 (4) ◽

pp. 304-331 ◽

Author(s):

Jun Zhang ◽

Nanguang Zhou ◽

Zipeng Sun ◽

Gaorong Li ◽

Zhenghong Wei

Keyword(s):

Linear Regression ◽

Statistical Inference ◽

Measurement Errors ◽

Regression Models ◽

Linear Regression Models ◽

Partial Linear ◽

Partial Distortion

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CONVERGENCE RATES OF ESTIMATORS IN PARTIAL LINEAR REGRESSION MODELS WITH MA(∞) ERROR PROCESS

Communication in Statistics- Theory and Methods ◽

10.1081/sta-120017224 ◽

2002 ◽

Vol 31 (12) ◽

pp. 2251-2273 ◽

Author(s):

Xiaoqian Sun ◽

Jinhong You ◽

Gemai Chen ◽

Xian Zhou

Keyword(s):

Linear Regression ◽

Regression Models ◽

Convergence Rates ◽

Linear Regression Models ◽

Error Process ◽

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On bandwidth selection in partial linear regression models under dependence

Statistics & Probability Letters ◽

10.1016/s0167-7152(02)00096-2 ◽

2002 ◽

Vol 57 (4) ◽

pp. 393-401 ◽

Author(s):

Germán Aneiros-Pérez

Keyword(s):

Linear Regression ◽

Regression Models ◽

Bandwidth Selection ◽

Linear Regression Models ◽

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Difference-Based Semiparametric Estimation of Partial Linear Regression Models

The Stata Journal Promoting communications on statistics and Stata ◽

10.1177/1536867x0600600306 ◽

2006 ◽

Vol 6 (3) ◽

pp. 377-383 ◽

Author(s):

Michael Lokshin

Keyword(s):

Linear Regression ◽

Regression Models ◽

Semiparametric Estimation ◽

Linear Regression Models ◽

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Plug-in bandwidth choice for estimation of nonparametric part in partial linear regression models with strong mixing errors

Statistical Papers ◽

10.1007/bf02777223 ◽

2004 ◽

Vol 45 (2) ◽

pp. 191-210 ◽

Author(s):

Germán Aneiros-Pérez

Keyword(s):

Linear Regression ◽

Regression Models ◽

Strong Mixing ◽

Linear Regression Models ◽

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Robust estimators in partly linear regression models on Riemannian manifolds

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2013.775302 ◽

2014 ◽

Author(s):

Guillermo Henry ◽

Daniela Rodriguez

Keyword(s):

Linear Regression ◽

Riemannian Manifolds ◽

Regression Models ◽

Robust Estimators ◽

Linear Regression Models

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