Cramer-rao inequality: Difference between revisions
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Latest revision as of 11:42, 5 August 2021
This inequality sets a lower limit (the minimum variance bound ) on the uncertainty which can be achieved in the estimation of a parameter
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. This bound is given by:
where V is the variance (square of the standard deviation), File:Hepa img220.gif bias of the estimator, and Ix is the information about
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contained in the data X, which can be written:
where L is the likelihood function, and the integral is taken over all the space of the observables X (
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Eadie71).