Cramer-rao inequality
From HandWiki
This inequality sets a lower limit (the minimum variance bound ) on the uncertainty which can be achieved in the estimation of a parameter 
. 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 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 ( 
Eadie71).
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