MLlaio2004 {nsRFA} | R Documentation |
Maximum Likelihood estimation of parameters for extreme-value distributions, from Laio (2004).
ML_estimation (x, dist="NORM") moment_estimation (x, dist="NORM")
x |
data sample |
dist |
distribution: normal |
ML_estimation
estimate the parameters of the distribution dist
from a sample x
using the maximum likelihood approach.
moment_estimation
estimate the parameters of the distribution dist
from a sample x
using the moment method.
For information on the package and the Author, and for all the references, see nsRFA
.
# sample from an EV1 distribution sm <- rand.gumb(100, 0, 1) moment_estimation (sm, dist="GEV") ML_estimation (sm, dist="GEV") F.GEV(sm, -0.051, 0.97, -0.024) rand.GEV (100, -0.051, 0.97, -0.024) moment_estimation (sm, dist="P3") ML_estimation (sm, dist="P3")