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A Novel Regression Approach: Least Squares Ratio

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Publication:5321952
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DOI10.1080/03610920802455076zbMath1165.62326OpenAlexW2076153483MaRDI QIDQ5321952

Oguz Akbilgic, Eylem Deniz Akinci

Publication date: 16 July 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802455076


zbMATH Keywords

predictionestimationregressionordinary least squaresleast squares ratio


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (5)

An effective approach towards efficient estimation of general linear model in case of heteroscedastic errors ⋮ An adaptive weighted least squares ratio approach for estimation of heteroscedastic linear regression model in the presence of outliers ⋮ Model selection using information criteria under a new estimation method: least squares ratio ⋮ Classification trees aided mixed regression model ⋮ A New Robust Regression Method Based on Particle Swarm Optimization



Cites Work

  • Applied Multivariate Analysis
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