lmomwei: L-moments of the Weibull Distribution

In wasquith/lmomco: L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions

L-moments of the Weibull Distribution

Description

This function estimates the L-moments of the Weibull distribution given the parameters (\zeta, \beta, and \delta) from parwei. The Weibull distribution is a reverse Generalized Extreme Value distribution. As result, the Generalized Extreme Value algorithms (lmomgev) are used for computation of the L-moments of the Weibull in this package (see parwei).

Usage

lmomwei(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: “lmomwei”.

Author(s)

W.H. Asquith

References

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

See Also

parwei, cdfwei, pdfwei, quawei

Examples

lmr <- lmoms(c(123,34,4,654,37,78))
lmr
lmomwei(parwei(lmr))

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