These two null hypotheses are not the same, but they both conform to our conceptual null hypothesis, namely that X* does not add incremental information to the predictive ability of the model formed using X alone.
Stepwise regression models were formed, using as independent covariates BMI, waist circumference, triglycerides, HOMA, SBP, and HDL cholesterol.
The model framework is formed using subsystems such as engine, transmission, driveline, vehicle dynamics, auxiliaries, driver, environment, test scenarios, hardware-in-the-loop and analysis.
The prediction model can be formed using logistic and probit techniques to diagnose tennis elbow.
The prediction model can be formed using logistic and probit techniques.
A model data set was formed using data from two clinical studies, where patients with low back pain were followed with weekly text messages for 18 weeks.
Next, the shoulder and axial surface of the tooth preparation were formed using parametric modeling.
This study focuses on the identification of the proper surrogate-model form using computational experiments.
The developed engineering model, with applying the Gaussian plume model, is transformed to a discrete time nonlinear concentrated parameter state-space model form using lumping and finite difference approximations.
When we explored different model forms using generalized additive mixed models for the two ocean basins, we found that a linear model was sufficient for the Caribbean (Fig. S5A), but a non-linear changepoint or breakpoint model [21] was needed for the Indo-Pacific (Fig. S5B).
