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<p>The <a href="page.php?w=Cram%C3%A9r-Rao_bound">Cramér-Rao bound</a> states that the inverse of the Fisher information is a lower bound on the variance of any <a href="page.php?w=unbiased_estimator">unbiased estimator</a> of ?.  and  provide the following method of deriving the <a href="page.php?w=Cram%C3%A9r-Rao_bound">Cramér-Rao bound</a>, a result which describes use of the Fisher information.</p>

<p>Informally, we begin by considering an <a href="page.php?w=unbiased_estimator">unbiased estimator</a> . Mathematically, "unbiased" means that</p><p>
<a accesskey="1" href="page.php?w=Fisher_information&amp;p=14">1.Previous</a><br />
<a accesskey="3" href="page.php?w=Fisher_information&amp;p=16">3.Next</a>
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