validate models

What Are the Key Steps in Model Validation?

1. Data Collection: Gather experimental or observational data relevant to the model.
2. Model Calibration: Adjust model parameters to fit the collected data.
3. Comparison: Compare model predictions with independent experimental results.
4. Uncertainty Analysis: Assess the uncertainties in model predictions and their sources.
5. Sensitivity Analysis: Determine how sensitive the model is to changes in input parameters.

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