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A new partial robust adaptive modified maximum likelihood estimator

  • Published:2020-09 Issue: Volume:204 Page:104068
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Acitas Sukru,Filzmoser Peter,Senoglu Birdal

Funder

The Scientific and Technological Research Council of Turkey

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference31 articles.

1. A robust adaptive modified maximum likelihood estimator for the linear regression model;Acitas,2019

2. A robust adaptive modified maximum likelihood estimator for the linear regression model;Acitas;arXiv,2020

3. Nonlinear iterative partial least squares (NIPALS) modelling: some current developments;Wold;Multivar. Anal.,1973

4. Introduction to Multivariate Statistical Analysis in Chemometrics;Varmuza,2009

5. Robust Statistics: Theory and Methods;Maronna,2006

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1. Fast partial quantile regression;Chemometrics and Intelligent Laboratory Systems;2022-04

2. The pre-process DV-UKF algorithm for high-precision attitude measurement with low-cost inertial sensor;Aircraft Engineering and Aerospace Technology;2022-03-16

3. Modified minimum distance estimators: definition, properties and applications;Computational Statistics;2021-11-18

4. A novel robust PLS regression method inspired from boosting principles: RoBoost-PLSR;Analytica Chimica Acta;2021-09

5. A robust adaptive modified maximum likelihood estimator for the linear regression model;Journal of Statistical Computation and Simulation;2020-12-08
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