MIT «COLLINEARITY» VERWANDTE WÖRTER IM WÖRTERBUCH ENGLISCH
collinearity
biology
econometrics
genetics
collinear
points
stata
test
spss
geometry
property
specifically
lying
single
with
this
said
greater
generality
term
been
used
aligned
objects
that
things
being
statistics
collinearity
regression
what
there
perfect
relation
among
predictors
does
exist
unique
solution
coeffs
means
within
some
nearly
totally
predicted
other
thus
affected
have
weights
multiple
tutorial
occurs
when
predictor
zero
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undesirable
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where
correlations
independent
strong
ways
address
models
learn
daily
instead
goal
identify
potential
ÜBERSETZUNG VON COLLINEARITY
Erfahre, wie die Übersetzung von
collinearity auf
25 Sprachen mit unserem mehrsprachigen
Übersetzer Englisch lautet.
Die
Übersetzungen von collinearity auf andere Sprachen, die in diesem Bereich vorgestellt werden, sind zustande gekommen durch
automatische statistische Übersetzung, wobei die Basiseinheit der Übersetzung das Wort «collinearity» in Englisch ist.
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共线性
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colinealidad
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العلاقة الخطية المتداخلة
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коллинеарности
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10 BÜCHER, DIE MIT «COLLINEARITY» IM ZUSAMMENHANG STEHEN
Entdecke den Gebrauch von
collinearity in der folgenden bibliographischen Auswahl. Bücher, die mit
collinearity im Zusammenhang stehen und kurze Auszüge derselben, um seinen Gebrauch in der Literatur kontextbezogen darzustellen.
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
10 NACHRICHTEN, IN DENEN DER BEGRIFF «COLLINEARITY» VORKOMMT
Erfahre, worüber man in den einheimischen und internationalen Medien spricht und wie der Begriff
collinearity im Kontext der folgenden Nachrichten gebraucht wird.
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