Revision as of 21:55, 6 December 2020 by Krish176 (Talk | contribs)

Proof that $ I(θ) = E[(s(θ;X))^2] $

Recall that:

$ \begin{align} \bar Var(Y) &= E[(Y-E(Y))^2]\\ &= E[Y^2-2YE[Y]+(E[Y])^2]\\ &= \frac{\mu_0}{2 \pi a \cdot b} \end{align} $

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva