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Akademický článek
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The residualization procedure has been applied in many different fields to estimate models with multicollinearity. However, there exists a lack of understanding of this methodology and some authors discourage its use. This paper aims to contribute to
Externí odkaz:
http://arxiv.org/abs/2410.17680
When the regressors of a econometric linear model are nonorthogonal, it is well known that their estimation by ordinary least squares can present various problems that discourage the use of this model. The ridge regression is the most commonly used a
Externí odkaz:
http://arxiv.org/abs/2407.02583
The paper analyzes how the enlarging of the sample affects to the mitigation of collinearity concluding that it may mitigate the consequences of collinearity related to statistical analysis but not necessarily the numerical instability. The problem t
Externí odkaz:
http://arxiv.org/abs/2407.01172
Autor:
Lopez-Monclus, Javier, Gómez-Cruz, Amparo, Munoz-Rodriguez, Joaquin M., Catalina García-Perrote, Sandra, Román García de León, Laura, Blazquez-Hernando, Luis A., Robin Valle De Lersundi, Álvaro, Santos-González, Martin, Lucena de la Poza, José Luis, Garcia-Urena, Miguel A.
Publikováno v:
In Journal of Surgical Research November 2024 303:761-771
Multicollinearity produces an inflation in the variance of the Ordinary Least Squares estimators due to the correlation between two or more independent variables (including the constant term). A widely applied solution is to estimate with penalized e
Externí odkaz:
http://arxiv.org/abs/2104.14423
Autor:
Maria Catalina Garcia Ch.
Publikováno v:
Island Studies Journal, Vol 19, Iss 2 (2024)
Increasingly, marine governance advocates for ocean justice and, within it, the rights of coastal communities and indigenous people over the ocean space. Yet, international and state sea regimes strengthen border restrictions, impeding people’s mob
Externí odkaz:
https://doaj.org/article/8cc6fa33a557450cb83252e76c3f2852
Akademický článek
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This paper analyzes the diagnostic of near multicollinearity in a multiple linear regression from auxiliary centered regressions (with intercept) and non-centered (without intercept). From these auxiliary regression, the centered and non-centered Var
Externí odkaz:
http://arxiv.org/abs/1905.12293
Autor:
Hidalgo, Catalina Garcia, Solevag, Anne L., Kim, Seung Yeun, Shim, Gyu Hong, Cheung, Po-Yin, Lee, Tze-Fun, O’Reilly, Megan, Schmölzer, Georg M.
Publikováno v:
In Resuscitation October 2020 155:39-47