Results 151 to 160 of about 300,687 (184)
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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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Patient satisfaction surveys and multicollinearity
Quality Management in Health Care, 1994The measurement of patient satisfaction is now an integral part of hospital market research. Just as consumer satisfaction is a function of the extent to which providers do things right, the value of consumer-oriented market research is directly related to whether the research itself is done right.
W C, Stratmann +5 more
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Multicollinearity: A Bayesian Interpretation
The Review of Economics and Statistics, 1973T HE problem of collinear data sets in the context of the univariate multiple regression model has generated a confusing array of papers, comments and footnotes. Perusal of this literature does not lead the reader to conclude that the problem has even been rigorously defined.
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Diagnosing and Dealing with Multicollinearity
Western Journal of Nursing Research, 1990The 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
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Assessment of Multicollinearity
Sociological Methods & Research, 1975Interdependence among explanatory variables is a common condition for sociological analyses. It may markedly affect the stability of estimates of parameters obtained from least-squares regression. Multicollinearity is viewed as a problem which poses two questions for the analyst: how severe is the multicollinearity and what is its effect on the ...
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Multicollinearity in Logistic Regression Models
Anesthesia & Analgesia, 2021Emine Ozgur, Bayman, Franklin, Dexter
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