pdfexp {lmomco} | R Documentation |
This function computes the probability density
of the Exponential distribution given parameters (xi and α) of the
distribution computed by parexp
. The probability density
function of the distribution is
f(x) = α^{-1} e^{(frac{-(x - xi)}{α})}
where f(x) is the probability density for the quantile x, xi is a location parameter and α is a scale parameter.
pdfexp(x, para)
x |
A real value. |
para |
The parameters from parexp or similar. |
Probability density (F) for x.
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, 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.
lmr <- lmom.ub(c(123,34,4,654,37,78)) expp <- parexp(lmr) x <- quaexp(.5,expp) pdfexp(x,expp)