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What is Cramer-Rao Lower Bound Explained about?

The document discusses the Cramer-Rao lower bound (CRLB), which establishes a lower limit on the variance of unbiased estimators. It provides examples to illustrate the CRLB, such as estimating an unknown parameter A from a single noisy observation. The CRLB depends on the Fisher information, which measures the curvature of the log-likelihood function. Estimator variance cannot fall below the CRLB, and efficient estimators attain the bound. The document derives the CRLB for examples including estimating a D

Author

Ömer Faruk Demir

Language

EN