lmomgno | R Documentation |
This function estimates the L-moments of the Generalized Normal (Log-Normal3) distribution given the parameters (\xi
, \alpha
, and \kappa
) from pargno
. The L-moments in terms of the parameters are
\lambda_1 = \xi + \frac{\alpha}{\kappa}(1-\mathrm{exp}(\kappa^2/2) \mbox{, and}
\lambda_2 = \frac{\alpha}{\kappa}(\mathrm{exp}(\kappa^2/2)(1-2\Phi(-\kappa/\sqrt{2})) \mbox{,}
where \Phi
is the cumulative distribution of the Standard Normal distribution. There are no simple expressions for \tau_3
, \tau_4
, and \tau_5
. Logarthmic transformation of the data prior to fitting of the Generalized Normal distribution is not required. The distribution is algorithmically the same with subtle parameter modifications as the Log-Normal3 distribution (see lmomln3
, parln3
). If desired for user-level control of the lower bounds of a Log-Normal-like distribution is required, then see parln3
.
lmomgno(para)
para |
The parameters of the distribution. |
An R list
is returned.
lambdas |
Vector of the L-moments. First element is
|
ratios |
Vector of the L-moment ratios. Second element is
|
trim |
Level of symmetrical trimming used in the computation, which is |
leftrim |
Level of left-tail trimming used in the computation, which is |
rightrim |
Level of right-tail trimming used in the computation, which is |
source |
An attribute identifying the computational source of the L-moments: “lmomgno”. |
W.H. Asquith
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.
pargno
, cdfgno
, pdfgno
, quagno
, lmomln3
lmr <- lmoms(c(123,34,4,654,37,78))
lmr
lmomgno(pargno(lmr))
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