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1979 114 s V U L O @ 11 4 2 l 1 ѓc O 56 T1600 1372 n i i q J y K T X j;. Variable In other words, if Y(= lnX) is normally distributed, eY(= X) is lognormally distributed µ Y = µ lnX, σ 2 Y = σ 2 X, PY ≤y PlnX≤lnx PX≤x = F Y(y) F lnX(lnx) F X(x) = Φ y−µ Y σ Y Φ lnx−µ lnX σ lnX The mean and standard deviation of a lognormal variable Xare related to the mean and standard deviation of lnX. GitHub Gist instantly share code, notes, and snippets.

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