A New Mixed Biased Estimator for Ill‐Conditioning Challenges in Linear Regression Model With Chemometrics Applications

ABSTRACT In linear regression models, the ordinary least squares (OLS) method is used to estimate the unknown regression coefficients. However, the OLS estimator may provide unreliable estimates in non‐orthogonal models. This article introduces a novel mixed‐biased estimator to address the challenge...

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Hlavní autoři:	Muhammad Amin, Sadiah M. A. Aljeddani, Muhammad Nauman Akram, Sajida Yasmeen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley-VCH 2025-06-01
Edice:	Analytical Science Advances
Témata:	biased parameter multicollinearity non‐orthogonal ridge estimator Stein estimator Stein–Ridge estimator
On-line přístup:	https://doi.org/10.1002/ansa.70020
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