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lmomco (version 0.88)

lmomglo: L-moments of the Generalized Logistic Distribution

Description

This function estimates the L-moments of the Generalized Logistic distribution given the parameters ($\xi$, $\alpha$, and $\kappa$) from parglo. The L-moments in terms of the parameters are

$$\lambda_1 = \xi + \alpha \left(\frac{1}{\kappa} - \frac{\pi}{\sin(\kappa\pi)}\right) \mbox{,}$$ $$\lambda_2 = \frac{\alpha \kappa \pi}{\sin(\kappa\pi)} \mbox{,}$$ $$\tau_3 = -\kappa \mbox{, and}$$ $$\tau_4 = \frac{(1+5\kappa^2)}{6} \mbox{.}$$

Usage

lmomglo(para)

Arguments

para
The parameters of the distribution.

Value

  • An R list is returned.
  • L1Arithmetic mean.
  • L2L-scale---analogous to standard deviation.
  • LCVcoefficient of L-variation---analogous to coe. of variation.
  • TAU3The third L-moment ratio or L-skew---analogous to skew.
  • TAU4The fourth L-moment ratio or L-kurtosis---analogous to kurtosis.
  • TAU5The fifth L-moment ratio.
  • L3The third L-moment.
  • L4The fourth L-moment.
  • L5The fifth L-moment.
  • sourceAn attribute identifying the computational source of the L-moments: lmomglo.

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, vol. 52, p. 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

parglo, quaglo, cdfglo

Examples

Run this code
lmr <- lmom.ub(c(123,34,4,654,37,78))
lmr
lmomglo(parglo(lmr))

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