The Darth Vader Rule
Abstract
\emph{Using Henstock's generalized Riemann integral, we show that, for any
almost surely non-negative random variable $X$ with probability density
function $f_{X}$ and survival function $s_{X}(x):=\int_{x}^{\infty
}f_{X}(t)dt$, the expected value of $X$ is given by $\mathbf{E}%
(X)=\int_{0}^{\infty }s_{X}(x)dx$.}
almost surely non-negative random variable $X$ with probability density
function $f_{X}$ and survival function $s_{X}(x):=\int_{x}^{\infty
}f_{X}(t)dt$, the expected value of $X$ is given by $\mathbf{E}%
(X)=\int_{0}^{\infty }s_{X}(x)dx$.}
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PDFDOI: https://doi.org/10.2478/tatra.v52i0.178