Oct 21, 2020 · This may seem trivial but just to confirm, as the expected value is a constant, this implies that the expectation of an expectation is just itself. It would be useful to know if this …

Average is essentially expected value. Except I tend to use (IMHO ) average for simple average I.e expected value of X say, whilst expected value is usually a function. But your right, for …

The second term is such because $E (X)$ is a constant, and the expectation of a constant is the constant itself (same for the last term ($E (X))^2$) $=E (X^2)-2 (E (X))^2+ (E (X))^2=E (X^2)- …

May 19, 2015 · How did you reformulate the density function into an arithmetico-geometric series? Otherwise, the result for the sum of geometric series is very well known and it is not unusual to …

I think you mean the expectation of the square of a geometric random variable. "Expectation squared ____" would seem to mean "square of expectation ____".

Sep 2, 2022 · probability integration definite-integrals conditional-expectation Share Cite edited Sep 2, 2022 at 2:24

Mar 23, 2016 · probability probability-theory expectation Share Cite edited Mar 23, 2016 at 10:11

Difference between logarithm of an expectation value and expectation value of a logarithm Ask Question Asked 14 years, 11 months ago Modified 10 years, 11 months ago

May 4, 2016 · 3 I created a small illustration with the expectation (no pun intended) that it might help some learners. HTH

A non-conditional expectation is a non-parametrized integral. Just like the integral from 0 to 1 of x is $\frac {1} {2}$, the expectation is a number, and so what answer says can be applied.