LognormalQQ_der | R Documentation |
Computes the derivative plot of the log-normal QQ-plot. These values can be plotted as a function of the data or as a function of the tail parameter k
.
LognormalQQ_der(data, k = FALSE, plot = TRUE,
main = "Derivative plot of log-normal QQ-plot", ...)
data |
Vector of |
plot |
Logical indicating if the derivative values should be plotted, default is |
k |
Logical indicating if the derivative values are plotted as a function of the tail parameter |
main |
Title for the plot, default is |
... |
Additional arguments for the |
The derivative plot of a log-normal QQ-plot is
(k, H_{k,n}/N_{k,n})
or
(\log X_{n-k,n}, H_{k,n}/N_{k,n})
with H_{k,n}
the Hill estimates and
N_{k,n} = (n+1)/(k+1) \phi(\Phi^{-1}(a)) - \Phi^{-1}(a).
Here is a=1-(k+1)/(n+1)
, \phi
the standard normal PDF and \Phi
the standard normal CDF.
See Section 4.1 of Albrecher et al. (2017) for more details.
A list with following components:
xval |
Vector of the x-values of the plot ( |
yval |
Vector of the derivative values. |
Tom Reynkens.
Albrecher, H., Beirlant, J. and Teugels, J. (2017). Reinsurance: Actuarial and Statistical Aspects, Wiley, Chichester.
LognormalQQ
, Hill
, MeanExcess
, ParetoQQ_der
, WeibullQQ_der
data(norwegianfire)
# Log-normal QQ-plot for Norwegian Fire Insurance data for claims in 1976.
LognormalQQ(norwegianfire$size[norwegianfire$year==76])
# Derivate plot
LognormalQQ_der(norwegianfire$size[norwegianfire$year==76])
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