I could have completed this post in the last month, however I was too exhausted to write this article yesterday (the last day of Feb).
Recently, I am addicted in Probability & Statistics theorem and calculus. I found there is a lot of interesting formula derivation about Normal Distribution (aka Gaussian Distribution), so I’d like to proof it by myself. Here are several methods I tried:
The first formula is the expected value of lognormal distribution. We know, for a continuous function:
And the Probability Density Function (PDF) of lognormal distribution function is:
Hence, we have:
Because of,
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