Derivative plot of the Pareto QQ-plot
Computes the derivative plot of the Pareto QQ-plot. These values can be plotted as a function of the data or as a function of the tail parameter k.
ParetoQQ_der(data, k = FALSE, plot = TRUE, main = "Derivative plot of Pareto QQ-plot", ...)
data |
Vector of n observations. |
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 k ( |
main |
Title for the plot, default is |
... |
Additional arguments for the |
The derivative plot of a Pareto QQ-plot is
(k,H_{k,n})
or
(\log X_{n-k,n}, H_{k,n})
with H_{k,n} the Hill estimates.
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 (k or \log X_{n-k,n}). |
yval |
Vector of the derivative values H_{k,n}. |
Tom Reynkens.
Albrecher, H., Beirlant, J. and Teugels, J. (2017). Reinsurance: Actuarial and Statistical Aspects, Wiley, Chichester.
Beirlant J., Goegebeur Y., Segers, J. and Teugels, J. (2004). Statistics of Extremes: Theory and Applications, Wiley Series in Probability, Wiley, Chichester.
data(norwegianfire) # Pareto QQ-plot for Norwegian Fire Insurance data for claims in 1976. ParetoQQ(norwegianfire$size[norwegianfire$year==76]) # Derivate plot ParetoQQ_der(norwegianfire$size[norwegianfire$year==76])
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