dist-normRobMoments: Robust moments for the Normal distribution

In fBasics: Rmetrics - Markets and Basic Statistics

Robust moments for the Normal distribution

Description

Computes the first four robust moments for the Normal distribution.

Usage

normMED(mean = 0, sd = 1)
normIQR(mean = 0, sd = 1)
normSKEW(mean = 0, sd = 1)
normKURT(mean = 0, sd = 1)

Arguments

mean	locaiton parameter.
sd	scale parameter.

Value

a named numerical value. The name is one of MED, IQR, SKEW, or KURT, obtained by dropping the gh prefix from the name of the corresponding function.

Author(s)

Diethelm Wuertz

Examples

## normMED -
   # Median:
   normMED(mean = 0, sd = 1)

## normIQR -
   # Inter-quartile Range:
   normIQR(mean = 0, sd = 1)

## normSKEW -
   # Robust Skewness:
   normSKEW(mean = 0, sd = 1)

## normKURT -
   # Robust Kurtosis:
   normKURT(mean = 0, sd = 1)

fBasics documentation built on Nov. 3, 2023, 5:10 p.m.