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Hierarchical bayesian fusion of inspection and monitoring data for probabilistic bridge deterioration assessment. [PDF]
Sci RepWang B, Chen K, Wang B.
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Longitudinal study of childbirth readiness and its related factors and consequences among low-risk pregnant women attending health centres in Tabriz, Iran. [PDF]
BMJ OpenAlizadeh-Dibazari Z +3 more
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WIREs Computational Statistics, 2010
AbstractMulticollinearity refers to the linear relation among two or more variables. It is a data problem which may cause serious difficulty with the reliability of the estimates of the model parameters. In this article, multicollinearity among the explanatory variables in the multiple linear regression model is considered.
Van Steen, Kristel, Molenberghs, G.
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AbstractMulticollinearity refers to the linear relation among two or more variables. It is a data problem which may cause serious difficulty with the reliability of the estimates of the model parameters. In this article, multicollinearity among the explanatory variables in the multiple linear regression model is considered.
Van Steen, Kristel, Molenberghs, G.
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2011
Radi se o enciklopedijskoj natuknici na jednoj stranici sa 4 reference. Natuknica je prikazana na str. 869-870 u 13. dijelu "International Encyclopedia of Statistical Science" (Springer, 2011)
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Radi se o enciklopedijskoj natuknici na jednoj stranici sa 4 reference. Natuknica je prikazana na str. 869-870 u 13. dijelu "International Encyclopedia of Statistical Science" (Springer, 2011)
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Meaningful Multicollinearity Measures
Technometrics, 1978Problems of multicollinearity in regression analysis are considered and numerical measures established to assess the extent of multicollinearity in a set of regression data with respect to parameter confidence regions and tests of hypotheses, the effective sample size, and predictability.
Andrew R. Willan, Donald G. Watts
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