Gamma distribution (Skewness)

Description

In probability theory and statistics, the gamma distribution is a two-parameter family of continuous probability distributions. The common exponential distribution and chi-squared distribution are special cases of the gamma distribution. Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. In gamma distribution the skewness depends only on the shape parameter (k) and approaches a normal distribution when k is large (approximately when k > 10).

Related formulas

Variables

γSkewness (dimensionless)
kShape parameter (dimensionless)