Advanced Techniques for Parameter Estimation in Classical Linear Regression Models.

Authors

  • Dr. M. Chinna Giddaiah Author

DOI:

https://doi.org/10.48047/3hke1606

Keywords:

Classical Linear Regression Model, Parameter Estimation, Ordinary Least Squares (OLS), Generalized Least Squares (GLS), Ridge Regression, Lasso Regression, Maximum Likelihood Estimation (MLE), Multicollinearity, Heteroscedasticity, Model Efficiency, Predictive Accuracy, Statistical Modeling

Abstract

Accurate parameter estimation is fundamental to the reliability and predictive performance of classical linear regression models. Traditional methods such as Ordinary Least Squares (OLS)  often rely on strict assumptions

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Published

20.01.2025

Issue

Vol. 15 No. 1 (2025): volume 15 issue 1(2025)

Section

Articles

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How to Cite

Advanced Techniques for Parameter Estimation in Classical Linear Regression Models. (2025). International Journal of Information and Electronics Engineering, 15(1), 5-11. https://doi.org/10.48047/3hke1606