Sentence examples for variable fitted from inspiring English sources

Exact(3)

The variable fitted a Gaussian distribution best when it was transformed by taking the square root.

Tests for trend for a categorical variable were made as appropriate scoring the categorical variable as 1, 2, 3, and so on (in these cases the categorical variable was dropped from the model and replaced by the trend variable fitted as a linear term).

To determine if the addition of explanatory variables, especially the inclusion of past observations in the Markov chain model, improved explanatory power, we designed paired models (with and without the additional explanatory variable), fitted the models by maximum likelihood (ML) and compared the resulting fits via F-tests.

Similar(57)

Independent variables fitted in these regressions were: SLOPE, PCTCOV, PCTBARE, NSPECIES, FERT, presence of other major woody species, and TWINSPAN group (fitted as a categorical variable).

In addition, the Pseudo R 2 (0.25) indicates that 25% of the total variation in the dependent variable were explained by the independent variables fitted in the model.

Table 4 provides the ANOVA of variables fitted to quadratic polynomial models as well as other statistical parameters for COD, phosphate, color and sulfate removals and EC.

Simulated streamflow characteristics were sensitive to the quality of driving input data: Simulations driven with bias-corrected RCM variables fitted observed values better than simulations forced with uncorrected RCM climate variables and had more narrow variability bounds.

Variables fitted in the univariate analysis but not used in the logistic regression due to lack of significance include African American and Hispanic race, use of a non-beta-lactam in the ED and fever.

Second, distributions of the ratio of two random variables fitted better than did the distributions of a single random variable.

Note that the table in Additional file 2 includes all the explanatory variables fitted in the final model.

Variables fitted to multiple logistic regressions were age, perceived net benefit, perceived threat, perceived self-efficacy, and cues to action.

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