lmomrevgum | R Documentation |
This function estimates the L-moments of the Reverse Gumbel distribution given the parameters (\xi
and \alpha
) from parrevgum
. The first two type-B L-moments in terms of the parameters are
\lambda^B_1 = \xi - (0.5722\dots) \alpha - \alpha\lbrace\mathrm{Ei}(-\log(1-\zeta))\rbrace\mbox{and}
\lambda^B_2 = \alpha\lbrace\log(2) + \mathrm{Ei}(-2\log(1-\zeta)) - \mathrm{Ei}(-\log(1-\zeta))\rbrace\mbox{,}
where \zeta
is the right-tail censoring fraction of the sample or the nonexceedance probability of the right-tail censoring threshold, and \mathrm{Ei}(x)
is the exponential integral defined as
\mathrm{Ei}(X) = \int_X^{\infty} x^{-1}\mathrm{exp}(-x)\mathrm{d}x \mbox{,}
where \mathrm{Ei}(-\log(1-\zeta)) \rightarrow 0
as \zeta \rightarrow 1
and \mathrm{Ei}(-\log(1-\zeta))
can not be evaluated as \zeta \rightarrow 0
.
lmomrevgum(para)
para |
The parameters of the distribution. |
An R list
is returned.
lambdas |
Vector of the L-moments. First element is
|
ratios |
Vector of the L-moment ratios. Second element is
|
trim |
Level of symmetrical trimming used in the computation, which is |
leftrim |
Level of left-tail trimming used in the computation, which is |
rightrim |
Level of right-tail trimming used in the computation, which is |
zeta |
Number of samples observed (noncensored) divided by the total number of samples. |
source |
An attribute identifying the computational source of the L-moments: “lmomrevgum”. |
W.H. Asquith
Hosking, J.R.M., 1995, The use of L-moments in the analysis of censored data, in Recent Advances in Life-Testing and Reliability, edited by N. Balakrishnan, chapter 29, CRC Press, Boca Raton, Fla., pp. 546–560.
parrevgum
, cdfrevgum
, pdfrevgum
, quarevgum
lmr <- lmoms(c(123,34,4,654,37,78))
rev.para <- lmom2par(lmr,type='revgum')
lmomrevgum(rev.para)
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