10 ENGLISH BOOKS RELATING TO «COLLINEARITY»
Discover the use of
collinearity in the following bibliographical selection. Books relating to
collinearity and brief extracts from same to provide context of its use in English literature.
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 NEWS ITEMS WHICH INCLUDE THE TERM «COLLINEARITY»
Find out what the national and international press are talking about and how the term
collinearity is used in the context of the following news items.
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Occupation was not included in the multivariate regression model because of a strong collinearity with the district. Indeed, there were ... «BMC Blogs Network, Jun 15»
Clinical outcomes associated with Staphylococcus aureus and …
For this study, we excluded the microbiology subscore (originally described in [24], [25]) to avoid a collinearity effect between the total clinical ... «BMC Blogs Network, Jun 15»
Using Hedonic Price Analysis In Food Labeling Class Actions
In a model exhibiting multi-collinearity, the coefficients of the regression are imprecise due to the existence of large standard errors. See Robert ... «Law360, Jun 15»
Does Haloperidol Cause Delirium?
... our ability to interpret the results of the study by Pisani et al was their inability to adjust for the use of lorazepam due to the risk of collinearity with fentanyl. «Medscape, Jun 15»
Muscle strength and areal bone mineral density at the hip in women …
Higher than linear adjustments made for age were centred about the mean to reduce collinearity. Interaction terms were tested in the models to ... «BMC Blogs Network, May 15»
Alterations in frontal white matter neurochemistry and microstructure …
Collinearity was assessed by the variance inflation factors. A variance inflation factor >4 usually indicates potential problem of collinearity. «Nature.com, Apr 15»
Risk factors associated with lower defecation frequency in …
The model was reasonable as regression diagnostics showed no collinearity among risk factors; no noticeable outlier or influential ... «BMC Blogs Network, Apr 15»
Returns-Based Style Analysis Of HDV - Overfitting And Collinearity …
Plagued by overfitting and collinearity, returns-based style analysis frequently fails, confusing noise with portfolio risk. Returns-based style ... «Seeking Alpha, Apr 15»
Introducing SportVU On-Off Data: A Look at the MVP Candidates
While powerful, this data still suffers from the issue of collinearity. And this is why potential RAPM models of this dataset could be interesting. «Mid Level Exceptional, Mar 15»
Nylon Calculus Discusses One-Number Metrics
possible solutions though:1) Stick to OLS (no ridge) and iteratively drop players who cause collinearity problems. This means moving more ... «Mid Level Exceptional, Mar 15»
