| 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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