A Comment on Second-Order Polynomial Regression Models
In a recent article, Chatterjee and Greenwood [1] addressed the problem of multicollinearity in polynomial regression models. They noted that there is a high correlation between X and X2; therefore, a second-order polynomial model suffers the consequences of collinearity. Chatterjee and Greenwood [1...
Ausführliche Beschreibung
Autor*in: |
Dadkhah, Kamran M. [verfasserIn] |
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E-Artikel |
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Erschienen: |
Oxford, UK: Blackwell Publishing Ltd ; 1991 |
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Online-Ressource |
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Reproduktion: |
2007 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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Übergeordnetes Werk: |
In: Decision sciences - Oxford : Wiley-Blackwell, 1988, 22(1991), 1, Seite 0 |
Übergeordnetes Werk: |
volume:22 ; year:1991 ; number:1 ; pages:0 |
Links: |
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DOI / URN: |
10.1111/j.1540-5915.1991.tb01273.x |
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NLEJ239945212 |
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10.1111/j.1540-5915.1991.tb01273.x doi (DE-627)NLEJ239945212 DE-627 ger DE-627 rakwb Dadkhah, Kamran M. verfasserin aut A Comment on Second-Order Polynomial Regression Models Oxford, UK Blackwell Publishing Ltd 1991 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In a recent article, Chatterjee and Greenwood [1] addressed the problem of multicollinearity in polynomial regression models. They noted that there is a high correlation between X and X2; therefore, a second-order polynomial model suffers the consequences of collinearity. Chatterjee and Greenwood [1] suggested a method they believe will overcome the problem. The contention of the present comment is that the suggested method accomplishes nothing and, indeed, has the potential to lead the unwary researcher to the wrong inference and misinterpretation of his results. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Linear Statistical Models and Statistical Techniques. In Decision sciences Oxford : Wiley-Blackwell, 1988 22(1991), 1, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:22 year:1991 number:1 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1991.tb01273.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 22 1991 1 0 |
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10.1111/j.1540-5915.1991.tb01273.x doi (DE-627)NLEJ239945212 DE-627 ger DE-627 rakwb Dadkhah, Kamran M. verfasserin aut A Comment on Second-Order Polynomial Regression Models Oxford, UK Blackwell Publishing Ltd 1991 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In a recent article, Chatterjee and Greenwood [1] addressed the problem of multicollinearity in polynomial regression models. They noted that there is a high correlation between X and X2; therefore, a second-order polynomial model suffers the consequences of collinearity. Chatterjee and Greenwood [1] suggested a method they believe will overcome the problem. The contention of the present comment is that the suggested method accomplishes nothing and, indeed, has the potential to lead the unwary researcher to the wrong inference and misinterpretation of his results. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Linear Statistical Models and Statistical Techniques. In Decision sciences Oxford : Wiley-Blackwell, 1988 22(1991), 1, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:22 year:1991 number:1 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1991.tb01273.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 22 1991 1 0 |
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10.1111/j.1540-5915.1991.tb01273.x doi (DE-627)NLEJ239945212 DE-627 ger DE-627 rakwb Dadkhah, Kamran M. verfasserin aut A Comment on Second-Order Polynomial Regression Models Oxford, UK Blackwell Publishing Ltd 1991 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In a recent article, Chatterjee and Greenwood [1] addressed the problem of multicollinearity in polynomial regression models. They noted that there is a high correlation between X and X2; therefore, a second-order polynomial model suffers the consequences of collinearity. Chatterjee and Greenwood [1] suggested a method they believe will overcome the problem. The contention of the present comment is that the suggested method accomplishes nothing and, indeed, has the potential to lead the unwary researcher to the wrong inference and misinterpretation of his results. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Linear Statistical Models and Statistical Techniques. In Decision sciences Oxford : Wiley-Blackwell, 1988 22(1991), 1, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:22 year:1991 number:1 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1991.tb01273.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 22 1991 1 0 |
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10.1111/j.1540-5915.1991.tb01273.x doi (DE-627)NLEJ239945212 DE-627 ger DE-627 rakwb Dadkhah, Kamran M. verfasserin aut A Comment on Second-Order Polynomial Regression Models Oxford, UK Blackwell Publishing Ltd 1991 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In a recent article, Chatterjee and Greenwood [1] addressed the problem of multicollinearity in polynomial regression models. They noted that there is a high correlation between X and X2; therefore, a second-order polynomial model suffers the consequences of collinearity. Chatterjee and Greenwood [1] suggested a method they believe will overcome the problem. The contention of the present comment is that the suggested method accomplishes nothing and, indeed, has the potential to lead the unwary researcher to the wrong inference and misinterpretation of his results. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Linear Statistical Models and Statistical Techniques. In Decision sciences Oxford : Wiley-Blackwell, 1988 22(1991), 1, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:22 year:1991 number:1 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1991.tb01273.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 22 1991 1 0 |
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10.1111/j.1540-5915.1991.tb01273.x doi (DE-627)NLEJ239945212 DE-627 ger DE-627 rakwb Dadkhah, Kamran M. verfasserin aut A Comment on Second-Order Polynomial Regression Models Oxford, UK Blackwell Publishing Ltd 1991 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In a recent article, Chatterjee and Greenwood [1] addressed the problem of multicollinearity in polynomial regression models. They noted that there is a high correlation between X and X2; therefore, a second-order polynomial model suffers the consequences of collinearity. Chatterjee and Greenwood [1] suggested a method they believe will overcome the problem. The contention of the present comment is that the suggested method accomplishes nothing and, indeed, has the potential to lead the unwary researcher to the wrong inference and misinterpretation of his results. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Linear Statistical Models and Statistical Techniques. In Decision sciences Oxford : Wiley-Blackwell, 1988 22(1991), 1, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:22 year:1991 number:1 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1991.tb01273.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 22 1991 1 0 |
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A Comment on Second-Order Polynomial Regression Models |
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In a recent article, Chatterjee and Greenwood [1] addressed the problem of multicollinearity in polynomial regression models. They noted that there is a high correlation between X and X2; therefore, a second-order polynomial model suffers the consequences of collinearity. Chatterjee and Greenwood [1] suggested a method they believe will overcome the problem. The contention of the present comment is that the suggested method accomplishes nothing and, indeed, has the potential to lead the unwary researcher to the wrong inference and misinterpretation of his results. |
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In a recent article, Chatterjee and Greenwood [1] addressed the problem of multicollinearity in polynomial regression models. They noted that there is a high correlation between X and X2; therefore, a second-order polynomial model suffers the consequences of collinearity. Chatterjee and Greenwood [1] suggested a method they believe will overcome the problem. The contention of the present comment is that the suggested method accomplishes nothing and, indeed, has the potential to lead the unwary researcher to the wrong inference and misinterpretation of his results. |
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In a recent article, Chatterjee and Greenwood [1] addressed the problem of multicollinearity in polynomial regression models. They noted that there is a high correlation between X and X2; therefore, a second-order polynomial model suffers the consequences of collinearity. Chatterjee and Greenwood [1] suggested a method they believe will overcome the problem. The contention of the present comment is that the suggested method accomplishes nothing and, indeed, has the potential to lead the unwary researcher to the wrong inference and misinterpretation of his results. |
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