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Semiparametric least-squares regression with doubly-censored data

JOURNAL ARTICLE published December 2021 in Computational Statistics & Data Analysis

Research funded by National Research Foundation of Korea (2017R1C1B1004817,2019R1F1A1052239) | Korea University (2020R1F1A1A01069632,K2018721)

Authors: Taehwa Choi | Arlene K.H. Kim | Sangbum Choi

The Koul–Susarla–Van Ryzin and weighted least squares estimates for censored linear regression model: A comparative study

JOURNAL ARTICLE published August 2007 in Computational Statistics & Data Analysis

Authors: Yanchun Bao | Shuyuan He | Changlin Mei

Regression quantiles and trimmed least squares estimator in the nonlinear regression model

JOURNAL ARTICLE published June 1988 in Computational Statistics & Data Analysis

Authors: Bohumír Procházka

Multivariate least-trimmed squares regression estimator

JOURNAL ARTICLE published February 2005 in Computational Statistics & Data Analysis

Authors: Kang-Mo Jung

New algorithms for computing the least trimmed squares regression estimator

JOURNAL ARTICLE published June 2001 in Computational Statistics & Data Analysis

Authors: José Agulló

The feasible solution algorithm for least trimmed squares regression

JOURNAL ARTICLE published February 1994 in Computational Statistics & Data Analysis

Authors: Douglas M. Hawkins

Probabilistic algorithms for least median of squares regression

JOURNAL ARTICLE published January 1990 in Computational Statistics & Data Analysis

Authors: Johann Joss | Alfio Marazzi

An algorithm for computing exact least-trimmed squares estimate of simple linear regression with constraints

JOURNAL ARTICLE published May 2004 in Computational Statistics & Data Analysis

Authors: L LI

Least median of squares and regression through the origin

JOURNAL ARTICLE published March 2006 in Computational Statistics & Data Analysis

Authors: Humberto Barreto | David Maharry

The feasible set algorithm for least median of squares regression

JOURNAL ARTICLE published June 1993 in Computational Statistics & Data Analysis

Authors: Douglas M. Hawkins

A least-squares approach to fuzzy linear regression analysis

JOURNAL ARTICLE published October 2000 in Computational Statistics & Data Analysis

Authors: Pierpaolo D'Urso | Tommaso Gastaldi

An Analysis of the Least Median of Squares Regression Problem

BOOK CHAPTER published 1992 in Computational Statistics

Authors: Nikolai Krivulin

Exact computation of the least trimmed squares estimate in simple linear regression

JOURNAL ARTICLE published March 1995 in Computational Statistics & Data Analysis

Authors: Ola Hössjer

Parallel algorithms for least median of squares regression

JOURNAL ARTICLE published September 1993 in Computational Statistics & Data Analysis

Authors: Chong-wei Xu | Wei-Kei Shiue

Least squares type estimation for Cox regression model and specification error

JOURNAL ARTICLE published July 2012 in Computational Statistics & Data Analysis

Authors: P.L. Gradowska | R.M. Cooke

Partial least squares regression and projection on latent structure regression (PLS Regression)

JOURNAL ARTICLE published January 2010 in WIREs Computational Statistics

Authors: Hervé Abdi

Convergence of the feasible solution algorithm for least median of squares regression

JOURNAL ARTICLE published May 1995 in Computational Statistics & Data Analysis

Authors: Douglas M. Hawkins

Partial Least Squares Methods: Partial Least Squares Correlation and Partial Least Square Regression

BOOK CHAPTER published 2013 in Methods in Molecular Biology

Authors: Hervé Abdi | Lynne J. Williams

An estimating equation for censored and truncated quantile regression

JOURNAL ARTICLE published September 2017 in Computational Statistics & Data Analysis

Authors: Paolo Frumento | Matteo Bottai

Robust regression with a distributed intercept using least median of squares

JOURNAL ARTICLE published January 1994 in Computational Statistics & Data Analysis

Authors: Peter J. Rousseeuw | Joachim Wagner