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Various influence measures based on different motivational arguments, and designed to measure the influence of observations on different aspects of various regression results, are elucidated and critiqued here.
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This table reports IV regression results from various sensitivity checks.
These linear regression results for various cutoff times are shown in Table 1.
Table 4 shows a summary of results of various regression analyses reported in the literature.
Figure 1 summarizes the quantitative regression results for single-day lags 0 3 of PM2.5 mass and various constituents (before adjusting for PM2.5).
Table 9 summarizes the regression results.
Various regression models are developed and estimated.
Introduction to multiple regression, and introduction to the interpretation of regression results.
(ii) Boost prediction accuracy via applying various regression algorithms.
Regression results in (c) and (d) are based on 5-yr moving averages of the datasets.
Tumor regression results from massive apoptosis.
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