Suppose, $X\sim N(\mu,\sigma^2)$.
Can anyone help in finding the following : $\text{Var }\Phi(X)$ ?
Here, $\Phi(x)$ is the "Cumulative Distribution Function" of the above-mentioned normal distribution.
Thanking you in advance.
Suppose, $X\sim N(\mu,\sigma^2)$.
Can anyone help in finding the following : $\text{Var }\Phi(X)$ ?
Here, $\Phi(x)$ is the "Cumulative Distribution Function" of the above-mentioned normal distribution.
Thanking you in advance.
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Some of the following conditions can be left out, but let's keep it easy.
Let $F$ as CDF of random variable $X$ be continuous, strictly increasing and taking values in $(0,1)$.
Then $F:\mathbb R\to (0,1)$ is a bijection, so has an inverse. For $u\in(0,1)$ we find:$$F(X)\leq u\iff X\leq F^{-1}(u)$$ hence:$$P(F(X)\leq u)= P(X\leq F^{-1}(u))=F(F^{-1}(u))=u$$
So what is the distribution of $F(X)$?
If you know the distribution then you can also find the corresponding variance.
Apply this on $F=\Phi$.