Sentence examples for models coefficients with from inspiring English sources

Using the rule of 10 events or observations required per coefficient estimated in a model and adjusting for the design factor (using intracluster correlation coefficient of 0.02 for prescribing and average cluster size of 8000), our study required a total of 14 000 events or observations to estimate the models' coefficients with adequate precision.

To generalize our model, we relate the model coefficients with the gate size, power supply voltage (Vdd), carrier mobility, threshold voltage, and temperature.

The method produces a low-order model after three consequent steps: construction of an optimal basis functions set with respect to model error; computing the model coefficients with the Galerkin approach; calibration of the coefficients to minimize the model error.

Table 9 General linear model coefficients with their P values   50 hp engine 150 hp engine Coefficient value P value Coefficient value P value Constant 4.99665 0.000 8.2361st0.000 1st Gear coef.

There is no trend in the variation of the absolute values of the ARIMA model coefficients with vehicle speed, antenna locations, and antenna separation distances, as exemplified for the ARIMA model coefficient ϕ 1 under various scenarios in Figs. 9, 10, 11 and 12.

All model coefficients with corresponding variance/covariance estimates are reported in Supplemental Material, Table S3.

[ 14] The results are reported as estimates of model coefficients (with corresponding 95% confidence interval) and associated p-value.

Thus, the Hosmer Lemeshow goodness-of-fit and Omnibus tests of model coefficients with enter procedure were used to test for the model fitness.

From these models, coefficients per 10 μg/m3 are given with corresponding 95% confidence intervals (95% CI).

24 To evaluate the predictive performance of the retrieved prediction models, we used the original prediction models (regression coefficients with intercept or baseline hazard) as published.

This model selection process is derived from the classical least-squares minimization method used to estimate model coefficients, but with an additional penalization term that increases with the complexity of the model [ 44].