WeibullQQ_der function

Derivative plot of the Weibull QQ-plot

Derivative plot of the Weibull QQ-plot

Computes the derivative plot of the Weibull QQ-plot. These values can be plotted as a function of the data or as a function of the tail parameter kk.

WeibullQQ_der(data, k = FALSE, plot = TRUE, main = "Derivative plot of Weibull QQ-plot", ...)

Arguments

  • data: Vector of nn observations.
  • plot: Logical indicating if the derivative values should be plotted, default is TRUE.
  • k: Logical indicating if the derivative values are plotted as a function of the tail parameter kk (k=TRUE) or as a function of the logarithm of the data (k=FALSE). Default is FALSE.
  • main: Title for the plot, default is "Derivative plot of Weibull QQ-plot".
  • ...: Additional arguments for the plot function, see plot for more details.

Details

The derivative plot of a Weibull QQ-plot is

(k,Hk,n/Wk,n) (k, H_{k,n}/W_{k,n})

or

(logXnk,n,Hk,n/Wk,n) (\log X_{n-k,n}, H_{k,n}/W_{k,n})

with Hk,nH_{k,n} the Hill estimates and

Wk,n=1/kj=1klog(log((n+1)/j))log(log((n+1)/(k+1))). W_{k,n}=1/k\sum_{j=1}^k \log(\log((n+1)/j)) - \log(\log((n+1)/(k+1))).

See Section 4.1 of Albrecher et al. (2017) for more details.

Returns

A list with following components: - xval: Vector of the x-values of the plot (kk or logXnk,n\log X_{n-k,n}).

  • yval: Vector of the derivative values.

References

Albrecher, H., Beirlant, J. and Teugels, J. (2017). Reinsurance: Actuarial and Statistical Aspects, Wiley, Chichester.

Author(s)

Tom Reynkens.

See Also

WeibullQQ, Hill, MeanExcess, LognormalQQ_der, ParetoQQ_der

Examples

data(norwegianfire) # Weibull QQ-plot for Norwegian Fire Insurance data for claims in 1976. WeibullQQ(norwegianfire$size[norwegianfire$year==76]) # Derivative of Weibull QQ-plot for Norwegian Fire Insurance data for claims in 1976. WeibullQQ_der(norwegianfire$size[norwegianfire$year==76])
  • Maintainer: Tom Reynkens
  • License: GPL (>= 2)
  • Last published: 2024-12-02