Results 81 to 90 of about 117,059 (160)
Chromatin architectures and hox gene collinearity
Ever since the observation that collinearity, that is, the sequential activity of Hox genes based on their relative positions within their gene clusters, is conserved throughout most of the animal kingdom, the question has been raised as to what are the ...
Duboule, Denis +3 more
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Endogeneity in Logistic Regression Models
George Avery +2 more
doaj +1 more source
Collinearity and monotone relation.
We evaluated collinearity using the variance inflation factor (VIF) (A) and a correlation matrix (B). None of the variables presented a clear monotonic relationship (C). (TIF)
Fabian Jaimes (9465399) +5 more
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Appendix A. Collinearity and cross-validation analyses.
Collinearity and cross-validation ...
Matthew E. Baker (167872) +2 more
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Aggregation in Ill-Conditioned Regression Models: A Comparison with Entropy-Based Methods
Despite the advances on data analysis methodologies in the last decades, most of the traditional regression methods cannot be directly applied to large-scale data.
Ana Helena Tavares +5 more
doaj +1 more source
Collinearity affects and it's analysis in data
relationship between any of the independent variables. If such a linear relationship does exist, it can be said that the independent variables are collinear or multicollinearity.
Jahufer, Aboobacker
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Postulate of Collinearity and Parallelism [PDF]
In this article, we would frame a new postulate, postulate of collinearity and parallelism, in order to prove parallel postulate as a theorem; hence getting a solution to the chaos regarding Euclid’s fifth postulate.
Ray, Antareep
core
Collinearity and Least Squares Regression
this paper we introduce certain numbers, called collinearity indices, which are useful in detecting near collinearities in regression problems. The coefficients enter adversely into formulas concerning significance testing and the effects of errors in ...
G. W. Stewart
core
This paper gives a short overview of Monte Carlo studies on the usefulness of Heckman?s (1976, 1979) two?step estimator for estimating a selection model.
Puhani, Patrick A.
core

