|On this page…|
After you import the transient data, as described in Import Data (GUI), you must create an estimation task and configure the estimation settings. If your data contains noise or outliers, you must also preprocess the data, as described in Preprocess Data (GUI).
To create a container that stores the estimation settings:
In the Control and Estimation Tools Manager, right-click the Estimation node in the Workspace tree and select New.
Select the New Estimation node.
The Control and Estimation Tools Manager now resembles the next figure.
After you select the New Estimation node, the Data Sets tab appears. Here you select the data set that you want to use in the estimation.
Select the Selected check box to the right of the New Data data set.
Note: If you imported multiple data sets, you can select them for estimation by selecting the check box to the right of each desired data set. When using several data sets, you increase the estimation precision. However, you also increase the number of required simulations: for N parameters and M data sets, there are M*(2N+1) simulations per iteration.
Then, specify the weight of each output from this model by setting the Weight column in the Output data weights table.
The relative weights are used to place more or less emphasis on specific output variables. The following are a few guidelines for specifying weights:
Use less weight when an output is noisy.
Use more weight when an output strongly affects parameters.
Use more weight when it is more important to accurately match this model output to the data.