Sentence examples for regression terms from inspiring English sources

The actual locked fractions are shown with red colour and the estimation without the regression terms with a blue colour.

Estimated conditional quantile functions may violate the monotonicity principle, with ( {upeta}_{{mathrm{q}}_1mathrm{i}}>{upeta}_{{mathrm{q}}_2mathrm{i}} ) when q1 < q2 for some covariate combinations, or random effect values if the regression terms ηqi include random effects.

the y i counts in area i, are independently identically Poisson distributed and have an expectation in area i of e i, the expected count, times θ i, the risk for area i.  a logarithmic transformation (log(θ i )) allows a linear, additive model of regression terms (βx i ), along with.

where β0 is the value of the fixed response at the center point of the design; β1β2, and β3, the linear coefficients; β11β22, and β33, the quadratic coefficients; β12, β13, and β23, the interaction effect coefficient regression terms, respectively; and A, B, and C, the levels of independent amendment variables.

For linear regression terms, see Figure 6C.

For best-fit linear regression terms, see Figure 6C.

In this paper, we propose a novel method for semi-supervised learning by combining graph embedding and sparse regression, termed as graph embedding and sparse regression with structure low rank representation (GESR-LR), in which the embedding learning and the sparse regression are performed in a combined approach.

An additional model was run in which BW2 was included into the model 3 as a fixed covariate (i.e., a regression term).

All analyses accounted for multiples by adjusting for multiple birth status as a linear regression term and allowing for clustering by family.

The variables that were most statistically important (α = 0.05), base excess (BE) and platelets, were used to build a model using logistic regression, termed the BEP score.

Addition and omission of one regression term had to significantly change the r square (=explained variance) of the regression model for stepwise inclusion as being tested by the F-test [ 28, 29].