Mean square deviation

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

Δ_{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

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