Reducing errors-in-variables bias in linear regression using compact genetic algorithms

DOI10.1080/00949655.2014.961157OpenAlexW2045929169MaRDI QIDQ5222276

M. Hakan Satman, Erkin Diyarbakirlioglu

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.961157

zbMATH Keywords

measurement errorlinear regressioncompact genetic algorithm

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Investigating omitted variable bias in regression parameter estimation: a genetic algorithm approach
• Instrumental variable estimator for the nonlinear errors-in-variables model
• Measurement Error
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Measurement Error in Nonlinear Models
• Genetic Algorithms and the Optimal Allocation of Trials
• A survey of optimization by building and using probabilistic models

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