LRExp {Renext} | R Documentation |
Likelihood Ratio statistic for exponential vs. GPD
Description
Likelihood Ratio statistic for the exponential distribution vs. GPD.
Usage
LRExp(x, alternative = c("lomax", "GPD", "gpd", "maxlo"))
Arguments
x |
Numeric vector of positive sample values. For the POT context, this should be the vector of excesses over the threshold. |
alternative |
Character string describing the alternative hypothesis |
Details
The Likelihood-Ratio statistic is actually W:=-2 \log
\textrm{LR}
where LR is the ratio of the likelihoods
exponential to alternative distribution.
Value
The LR statistic value.
Note
When the alternative is "lomax"
or "maxlo"
, the
statistic has a distribution of mixed type under the null
hypothesis of exponentiality. This is a mixture of a distribution of
continuous type (with positive values) and of a Dirac mass at LR =
0. The probability mass \textrm{Pr}\{\textrm{LR} = 0\}
can be computed using the pGreenwood1
function. More
precisely, the probability mass is pGreenwood1(n)
for the Lomax
alternative and 1.0 - pGreenwood1(n)
for the maxlo alternative,
where n
is the sample size length(x)
.
See Also
LRExp.test
for the related LR test of exponentiality.