Cramér-Rao Bound (CRB)

For parameter estimation problems, the Cramér-Rao Bound (CRB) establishes a lower bound on the variance of any unbiased estimator. This means it's impossible to obtain an unbiased estimator with variance smaller than this bound, providing a benchmark for comparing the performance of unbiased estimators. This program implements the Cramér-Rao Lower Bound (CRLB) with parameterized design, allowing users to customize parameters according to their specific estimation scenarios and requirements.