Exact(3)
Train a model using step 3 and step 4. For each prediction term.
Step 2: Train a model using step 3 and step 4. Step 3: For each prediction term.
In controller design, a first step is often to determine the model using step and frequency response data.
Similar(57)
The relationship between each taxon and the change in water level caused by each plan was incorporated into the simulation model using step-linearly method and logical function (IF-THEN-ELSE).
In [ 15] we introduced a scheme by which we could simplify the NT-model using step functions and a time delay.
We created models using step-wise multivariable logistic regression starting with health services use data, then socio-demographic data, and finally adding the self-reported health status data to the model.
Top down models usually include piecewise-smooth functions to describe marginal cost curves, while bottom up models use step function curves.
Generate one-step transition probability matrix, Z, of the EMC of the SMP model, using the step IV (a), with (t to {infty }).
All variables significant on univariate analyses and having biological plausibility were entered in multivariate logistic regression model using forward step modeling.
Modeling is also performed using step tests and Aspen software for use with dynamic matrix control (DMC).
Variables were eliminated from the model using a step-wise procedure, removing at each stage the variable which was least significant in the model.
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