Geometric approach to the skewed log-normal distribution

Abstract

This paper presents a geometric approach to the skewed log-normal distribution, by making derivations of the key results on its mean, variance, and skewness through geometric transformations. Theorem 1 and proposition 1 offer new insights into the distribution's properties and skewness, enhancing its interpretability by adding clarity and the results be informative.