betaburr7 {VaRES} | R Documentation |
Beta Burr XII distribution
Description
Computes the pdf, cdf, value at risk and expected shortfall for the beta Burr XII distribution given by
\begin{array}{ll}
&\displaystyle
f (x) = \frac {k c x^{c - 1}}{B (a, b)}
\left[ 1 - \left( 1 + x^c \right)^{-k} \right]^{a - 1}
\left( 1 + x^c \right)^{-b k - 1},
\\
&\displaystyle
F (x) = I_{1 - \left( 1 + x^c \right)^{-k}} (a, b),
\\
&\displaystyle
{\rm VaR}_p (X) = \left\{ \left[ 1 - I_p^{-1} (a, b) \right]^{-1 / k} - 1 \right\}^{1/c},
\\
&\displaystyle
{\rm ES}_p (X) = \frac {1}{p} \int_0^p \left\{ \left[ 1 - I_v^{-1} (a, b) \right]^{-1 / k} - 1 \right\}^{1/c} dv
\end{array}
for x > 0
, 0 < p < 1
, a > 0
, the first shape parameter, b > 0
, the second shape parameter,
c > 0
, the third shape parameter, and k > 0
, the fourth shape parameter.
Usage
dbetaburr7(x, a=1, b=1, c=1, k=1, log=FALSE)
pbetaburr7(x, a=1, b=1, c=1, k=1, log.p=FALSE, lower.tail=TRUE)
varbetaburr7(p, a=1, b=1, c=1, k=1, log.p=FALSE, lower.tail=TRUE)
esbetaburr7(p, a=1, b=1, c=1, k=1)
Arguments
x |
scaler or vector of values at which the pdf or cdf needs to be computed |
p |
scaler or vector of values at which the value at risk or expected shortfall needs to be computed |
a |
the value of the first shape parameter, must be positive, the default is 1 |
b |
the value of the second shape parameter, must be positive, the default is 1 |
c |
the value of the third shape parameter, must be positive, the default is 1 |
k |
the value of the fourth shape parameter, must be positive, the default is 1 |
log |
if TRUE then log(pdf) are returned |
log.p |
if TRUE then log(cdf) are returned and quantiles are computed for exp(p) |
lower.tail |
if FALSE then 1-cdf are returned and quantiles are computed for 1-p |
Value
An object of the same length as x
, giving the pdf or cdf values computed at x
or an object of the same length as p
, giving the values at risk or expected shortfall computed at p
.
Author(s)
Saralees Nadarajah
References
Stephen Chan, Saralees Nadarajah & Emmanuel Afuecheta (2016). An R Package for Value at Risk and Expected Shortfall, Communications in Statistics - Simulation and Computation, 45:9, 3416-3434, doi:10.1080/03610918.2014.944658
Examples
x=runif(10,min=0,max=1)
dbetaburr7(x)
pbetaburr7(x)
varbetaburr7(x)
esbetaburr7(x)