# lmomwei: L-moments of the Weibull Distribution

Description Usage Arguments Value Author(s) References See Also Examples

### Description

This function estimates the L-moments of the Weibull distribution given the parameters (ζ, β, and δ) 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

 `1` ```lmomwei(para) ```

### Arguments

 `para` The parameters of the distribution.

### Value

An R `list` is returned.

 `lambdas` Vector of the L-moments. First element is λ_1, second element is λ_2, and so on. `ratios` Vector of the L-moment ratios. Second element is τ, third element is τ_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”.

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.

`parwei`, `cdfwei`, `pdfwei`, `quawei`

### Examples

 ```1 2 3``` ```lmr <- lmoms(c(123,34,4,654,37,78)) lmr lmomwei(parwei(lmr)) ```

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