Fisher information and Cramér-Rao bound for unknown systematic errors

@inproceedings{Fischer2018FisherIA,
  title={Fisher information and Cram{\'e}r-Rao bound for unknown systematic errors},
  author={Andreas Fischer},
  year={2018}
}
Abstract In order to understand the lower bound of achievable measurement uncertainties, the Cramer-Rao inequality is known to be an utmost useful tool. However, the calculation of the Cramer-Rao bound requires a known probability density function that describes the occurring stochastic process. For this reason, the Cramer-Rao bound is applied for determining the lower limit of the measurement uncertainty due to random errors. According to the international guide to the expression of… CONTINUE READING

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