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2. **Simulation Studies:** If the true value is unknown (which is very often the case), you can use simulation studies. In these studies, you create artificial datasets with known characteristics and then apply your estimator. By comparing the estimator's results to the known true values in the simulated data, you can assess its bias. This is an excellent way to test an estimator's performance under different conditions.
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* `from flask import request, jsonify`: Imports `request` to handle incoming requests and `jsonify` to convert Python dictionaries to JSON responses.
