KSIĄŻKI POWIĄZANE ZE SŁOWEM «COLLINEARITY»
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collinearity w następujących pozycjach bibliograficznych Książki powiązane ze słowem
collinearity oraz krótkie ich fragmenty w celu przedstawienia kontekstu użycia w literaturze.
1
Regression Diagnostics: Identifying Influential Data and ...
"The title of the book more or less sums up the contents. It appears to me to represent a real breakthrough in the art of dealing in ‘unconventional’ data. . . . I found the whole book both readable and enjoyable.
David A. Belsley, Edwin Kuh, Roy E. Welsch, 2005
2
Applied Regression Analysis and Other Multivariable Methods
The collinearity diagnostics output (from SAS PROC REG) shows VIF values of
358 and 350 for AGE and AGE2, respectively. Clearly, these terms are involved
in a severe collinearity problem. The VIF for HEIGHT is small, so it is not involved
...
David Kleinbaum, Lawrence Kupper, Azhar Nizam, 2013
3
Mixed Effects Models and Extensions in Ecology with R
Two important issues to consider before building regression models of species'
distributions are whether there is high collinearity between the explanatory
variables and whether spatial auto-correlation between data points is likely to be
an ...
Alain Zuur, Elena N. Ieno, Neil Walker, 2009
4
Encyclopedia of Research Design
It is especially important for inference that a possible consequence of collinearity
is a sign for a regression coefficient that is counterintuitive or counter to previous
research. The instability of estimates is also realized in very large or inflated ...
It should be noted, however, that emphasis in this reasoning is on 'can be large',
since the main diagonal elements of the adjugate can of course annul this effect.
As a matter of fact, in presence of collinearity we often observe that only some ...
6
Public Program Evaluation
Multicollinearity). Collinearity is the presence of such a high correlation between (
or, more likely, among) independent variables that it is impossible to separate
their independent impact on the outcome measure. For example, if an evaluator,
...
Laura Langbein, Claire L. Felbinger
7
Regression and ANOVA: An Integrated Approach Using SAS Software
Finding A.*/A.i very near zero for X'X, X'X/N or for scaled SSCP indicates either
collinearity with the intercept (if present) or collinearity among other predictors.
Consider the value for the element of the eigenvector (with a bad condition
number) ...
Keith E. Muller, Bethel A. Fetterman, 2002
8
Encyclopedia of Environmetrics
Quantitative structure -property relationships (QSPR) studies give other example
types that may show a high degree of collinearity. For example, toxicity may be
determined for a small set of different dioxins and modeled by a large set of ...
Abdel H. El-Shaarawi, Walter W. Piegorsch, 2001
9
Logistic Regression: From Introductory to Advanced Concepts ...
collinearity exists, it is impossible to obtain a unique estimate of the regression
coefficients; any of an infinite number of possible combinations of linear or
logistic regression coefficients will work equally well. Perfect collinearity is rare,
except ...
10
Robust Regression and Outlier Detection
for discovering collinearity, because the collinearity may involve several
variables. Therefore, the squared multiple correlation coefficients R? of the
regression of xi on the remaining x-variables are possible diagnostics for
measuring the ...
Peter J. Rousseeuw, Annick M. Leroy, 2005
WIADOMOŚCI, KTÓRE ZAWIERAJĄ SŁOWO «COLLINEARITY»
Sprawdź, o czym dyskutuje się w prasie krajowej i zagranicznej oraz jak jest stosowane słowo
collinearity w wiadomościach.
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