Results 241 to 250 of about 312,189 (299)

Multicollinearity

Wiley Interdisciplinary Reviews: 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.
Aylin Alin
exaly   +7 more sources

Detecting Multicollinearity

American Statistician, 1982
Edward R. Mansfield, Billy P. Helms
exaly   +2 more sources

Diagnosing and Dealing with Multicollinearity

Western Journal of Nursing Research, 1990
The purpose of this article was to increase nurse researchers' awareness of the effects of collinear data in developing theoretical models for nursing practice. Collinear data distort the true value of the estimates generated from ordinary least-squares analysis.
Mary Ann Schroeder   +2 more
openaire   +2 more sources

Multicollinearity

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)
openaire   +4 more sources

Multicollinearity in cross-sectional regressions

Journal of Geographical Systems, 2006
The paper examines robustness of results from cross-sectional regression paying attention to the impact of multicollinearity. It is well known that the reliability of estimators (least-squares or maximum-likelihood) gets worse as the linear relationships between the regressors become more acute.
Jørgen Lauridsen, Jesús Mur
openaire   +2 more sources

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