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To this end, we re-run the most consistent regressions identified in the previous sections on developing countries only.
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Equidistributed sequences of Halton or Hammersley type provide consistent regression estimators with a satisfactory rate of convergence.
To improve the performance of three different attention CNN models, CCR (cross-modality consistent regression) and transfer learning are presented.
Using the variances of the estimated population means, and the correlation between auxiliary variables and the variable of interest, a design consistent regression estimator that has minimum model mean squared error under a working model is derived.
Our main result is that the L1 error of the kernel density estimate applied to residuals of a consistent regression estimate converges with probability 1 to 0 regardless of the form of the true density.
From the above, we conclude that the research community does not yet totally agree about which is are) the most consistent regression model(s) because this conclusion depends on previous assumptions about the data generation process.
Additionally, to allow for regional scale comparisons, AGB estimates must be based on a consistent regression approach to avoid the confounding of results by variations inherent in different models [28].
Instead a random effects Tobit model, which provides consistent regression coefficients, is used to estimate the two specifications.
However, sensitivity analyses, including and excluding CWSs with treated and untreated point-of-entry sources yielded consistent regression coefficients for home ownership.
Additionally, to allow for regional scale comparisons, AGB estimates must be based on a consistent regression approach to avoid the confounding of results by variations inherent in different models [ 28].
We used QNA (Quantitative Neighbourhoods of Atoms) descriptors and Self-Consistent Regression for QSAR modeling of acute toxicity in the fathead minnow.
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