Mean square deviation

For a probability distribution $P$ and a random variable $f$ (see probability theory), the mean square deviation is defined as

$$ \Delta_P(f):=\sqrt{E_P((E_P(f)-f)^2)} $$

being $E_P$ the expected value.

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Author of the notes: Antonio J. Pan-Collantes

antonio.pan@uca.es


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