lmomnor: L-moments of the Normal Distribution

lmomnorR Documentation

L-moments of the Normal Distribution

Description

This function estimates the L-moments of the Normal distribution given the parameters (\mu and \sigma) from parnor. The L-moments in terms of the parameters are \lambda_1 = \mu, \lambda_2 = \sigma / \sqrt{pi}, \tau_3 = 0, \tau_4 = 0.122602, and \tau_5 = 0.

Usage

lmomnor(para)

Arguments

para

The parameters of the distribution.

Value

An R list is returned.

lambdas

Vector of the L-moments. First element is \lambda_1, second element is \lambda_2, and so on.

ratios

Vector of the L-moment ratios. Second element is \tau, third element is \tau_3 and so on.

trim

Level of symmetrical trimming used in the computation, which is 0.

leftrim

Level of left-tail trimming used in the computation, which is NULL.

rightrim

Level of right-tail trimming used in the computation, which is NULL.

source

An attribute identifying the computational source of the L-moments: “lmomnor”.

Author(s)

W.H. Asquith

References

Hosking, J.R.M., 1990, L-moments—Analysis and estimation of distributions using linear combinations of order statistics: Journal of the Royal Statistical Society, Series B, v. 52, pp. 105–124.

Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.

Hosking, J.R.M., and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.

See Also

parnor, cdfnor, pdfnor, quanor

Examples

lmr <- lmoms(c(123, 34, 4, 654, 37, 78))
lmr
lmomnor(parnor(lmr))

wasquith/lmomco documentation built on Nov. 13, 2024, 4:53 p.m.