k3: The third central moment

Description Usage Arguments Value References

View source: R/RcppExports.R

Description

The third central moment

Usage

1
k3(x)

Arguments

loss

vector with input

scale

scale parameter

Value

The third central moment is the measure of the lopsidedness of the distribution; any symmetric distribution will have a third central moment, if defined, of zero. The normalised third central moment is called the skewness, often Gamma. A distribution that is skewed to the left (the tail of the distribution is longer on the left) will have a negative skewness. A distribution that is skewed to the right (the tail of the distribution is longer on the right), will have a positive skewness. For distributions that are not too different from the normal distribution, the median will be somewhere near MU <e2><88><92> Gamma * Sigma / 6; the mode about MU <e2><88><92> Gamma * Sigma / 2.

References

https://en.wikipedia.org/wiki/Moment_(mathematics)


dangulod/ECTools documentation built on May 4, 2019, 3:19 p.m.