View source: R/SlicecdGammaPareto.R
| qSlicedGammaPareto | R Documentation |
Gives the claim amount that a claim from a sliced severity distribution, with Gamma attritional claims below the slice point and a Pareto tail above it, stays at or below with probability q; the inverse of pSlicedGammaPareto.
qSlicedGammaPareto(q, GShape, GRate, SlicePoint, PShape)
q |
A real number between 0 and 1 - the probability where the inverse cumulative distribution function will be evaluated. Values outside [0, 1] give |
GShape |
A positive real number - the shape parameter of the attritional Claim Severity's Gamma distribution. |
GRate |
A positive real number - the rate parameter of the attritional Claim Severity's Gamma distribution. |
SlicePoint |
A positive real number - the slice point and the scale parameter of the tail Claim Severity's Pareto distribution. An infinite slice point gives the Gamma distribution. |
PShape |
A positive real number - the shape parameter of the tail Claim Severity's Pareto distribution. |
PShape is the Pareto shape parameter, usually written alpha; the sliced LogNormal-Pareto functions call the same parameter shape.
The value of the inverse cumulative distribution function at q with an attritional claim Gamma distribution with parameters GShape and GRate and a large claim Pareto distribution with parameters SlicePoint and PShape. A non-numeric argument or a non-positive parameter is an error; NA values give NA.
Other sliced distribution functions:
SlicedGammaParetoMean(),
SlicedLNormParetoMean(),
dSlicedGammaPareto(),
dSlicedLNormPareto(),
pSlicedGammaPareto(),
pSlicedLNormPareto(),
qSlicedLNormPareto()
qSlicedGammaPareto(0.5,1,0.0005,1000,1.2)
qSlicedGammaPareto(0.2,1.1,0.0006,2000,1.6)
qSlicedGammaPareto(0.8,1.2,0.0004,3000,1.4)
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