lmrdia {lmomco} | R Documentation |
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.
lmrdia()
An R list
is returned.
limits |
The 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. |
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. |
ray |
tau_3 and tau_4 of the Rayleigh 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. |
W.H. Asquith
Hosking, J.R.M., 1986, The theory of probability weighted moments: Research Report RC12210, IBM Research Division, Yorkton Heights, N.Y.
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.
lratios <- lmrdia()