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Journal of Statistical Computation and Simulation, ISSN 0094-9655, 08/2018, Volume 88, Issue 12, pp. 2365 - 2384
The Variance Inflation Factor and the Condition Number are measures traditionally applied to detect the presence of collinearity in a multiple linear model.... 
multicollinearity detection | data transformation | Variance Inflation Factor | Condition Number | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MULTICOLLINEARITY | STATISTICS & PROBABILITY | COLLINEARITY | Computer simulation | Collinearity
Journal Article
Journal of Cereal Science, ISSN 0733-5210, 05/2013, Volume 57, Issue 3, pp. 453 - 462
The objective was to evaluate the effect of multicollinearity on three types of path analysis (traditional, under multicollinearity and traditional with... 
Multicollinearity diagnosis | Path analysis under multicollinearity | Elimination of variables | YIELD | FOOD SCIENCE & TECHNOLOGY | COEFFICIENT ANALYSIS | TRAITS | CHARACTERS | Corn | Analysis
Journal Article
Communications in Statistics: Simulation and Computation, ISSN 0361-0918, 2019, pp. 1 - 13
Journal Article
Ecology, ISSN 0012-9658, 11/2003, Volume 84, Issue 11, pp. 2809 - 2815
The natural complexity of ecological communities regularly lures ecologists to collect elaborate data sets in which confounding factors are often present.... 
Statistical Report | confounding factors | principal components regression | multiple regression | multicollinearity | structural equation modeling | sequential regression | Structural equation modeling | Confounding factors | Principal components regression | Multiple regression | Multicollinearity | Sequential regression | ECOLOGY | Ecology | Research
Journal Article
Frontiers in Psychology, ISSN 1664-1078, 2012, Volume 3, p. 44
While multicollinearity may increase the difficulty of interpreting multiple regression (MR) results, it should not cause undue problems for the knowledgeable... 
Multicollinearity | Multipler egression | PSYCHOLOGY, MULTIDISCIPLINARY | multiple regression | multicollinearity
Journal Article
1979, Odense University studies in history and social sciences, ISBN 8774922904, Volume 62, 239
Book
Dendrochronologia, ISSN 1125-7865, 2013, Volume 31, Issue 1, pp. 68 - 74
To understand the effect of climate on tree-ring features, such as width or density, tree-ring data have to be calibrated against instrumental records. The... 
Response function | Dendroclimatology | Statistical software | Multicollinearity | GEOGRAPHY, PHYSICAL | RECONSTRUCTION | FORESTRY | CLIMATE
Journal Article
Journal of Modern Applied Statistical Methods, ISSN 1538-9472, 2016, Volume 15, Issue 2, pp. 400 - 410
Journal Article
Journal of the Association of Arab Universities for Basic and Applied Sciences, ISSN 1815-3852, 04/2014, Volume 15, Issue 1, pp. 94 - 99
introduced the ridge regression estimator as an alternative to the ordinary least squares (OLS) estimator in the presence of multicollinearity. In ridge... 
Ridge regression | Multicollinearity | Ridge parameter
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 10/2019, Volume 114, Issue 528, pp. 1466 - 1480
Lyme disease is an infectious disease, that is, caused by a bacterium called Borrelia burgdorferi sensu stricto. In the United States, Lyme disease is one of... 
Gaussian process | GLMM | Spatial count data | Spatial correlation | Poisson regression | Multicollinearity
Journal Article
Journal of Multivariate Analysis, ISSN 0047-259X, 2012, Volume 105, Issue 1, pp. 164 - 175
Journal Article
Journal of Modern Applied Statistical Methods, ISSN 1538-9472, 2018, Volume 17, Issue 1
Journal Article
Sociological Methods and Research, ISSN 0049-1241, 2018, p. 4912411878254
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 2019, pp. 1 - 25
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 04/2020, Volume 144, p. 106894
Ultra-high dimensional data sets often need a screening step that removes irrelevant variables prior to the main analysis. In high-dimensional linear... 
Grouped variable screening | HOLP | Sparse regression | SIS | Sure screening property | Multicollinearity
Journal Article
Atmospheric Research, ISSN 0169-8095, 03/2020, Volume 233, p. 104716
Spatial modelling of storm dust provenance is essential to mitigate its on-site and off-site effects in the arid and semi-arid environments of the world.... 
R software | Spatial modelling | Ensemble modelling | Receiver operating characteristic | Dust provenance | Multicollinearity | Data mining algorithms
Journal Article
WSEAS Transactions on Mathematics, ISSN 1109-2769, 2018, Volume 17, pp. 369 - 376
Journal Article
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