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lmomco (version 0.88)

lmrdia: L-moment Ratio Diagram Components

Description

This function returns a list of the L-skew and L-kurtosis ($\tau_3$ and $\tau_4$, respectively) ordinates for construction of L-moment Ratio (L-moment diagrams) that are useful in selecting a distribution to model the data.

Usage

lmrdia()

Arguments

Value

  • An R list is returned.
  • limitsThe theoretical limits of $\tau_3$ and $\tau_4$--below $\tau_4$ are theoretically not possible.
  • exp$\tau_3$ and $\tau_4$ of the Exponential distribution.
  • gam$\tau_3$ and $\tau_4$ of the Gamma distribution.
  • gev$\tau_3$ and $\tau_4$ of the Generalized Extreme Value distribution.
  • glo$\tau_3$ and $\tau_4$ of the Generalized Logistic distribution.
  • gpa$\tau_3$ and $\tau_4$ of the Generalized Pareto distribution.
  • gum$\tau_3$ and $\tau_4$ of the Gumbel distribution.
  • lognormal$\tau_3$ and $\tau_4$ of the Lognormal distribution.
  • nor$\tau_3$ and $\tau_4$ of the Normal distribution.
  • pe3$\tau_3$ and $\tau_4$ of the Pearson Type III distribution.
  • uniform$\tau_3$ and $\tau_4$ of the uniform distribution.

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

plotlmrdia

Examples

Run this code
lratios <- lmrdia()

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