ExposureCurveSlicedLNormPareto: Exposure Curve from a Sliced LogNormal Pareto severity...

View source: R/SlicecdLogNormalPareto.R

ExposureCurveSlicedLNormParetoR Documentation

Exposure Curve from a Sliced LogNormal Pareto severity distribution

Description

Exposure Curve from a Sliced LogNormal Pareto severity distribution

Usage

ExposureCurveSlicedLNormPareto(x, mu, sigma, SlicePoint, shape)

Arguments

x

A positive real number - the claim amount where the exposure curve will be evaluated.

mu

A real number - the first parameter of the attritional Claim Severity's LogNormal distribution.

sigma

A positive real number - the second parameter of the attritional Claim Severity's LogNormal distribution.

SlicePoint

A positive real number - the slice point and the scale parameter of the tail Claim Severity's Pareto distribution.

shape

A positive real number - the shape parameter of the tail Claim Severity's Pareto distribution.

Value

The value of the Exposure curve at x with an attritional claim LogNormal distribution with parameters mu and sigma and a large claim Pareto distribution with parameters SlicePoint and shape.

Examples

ExposureCurveSlicedLNormPareto(1200,6,1.5,1000,1.2)
ExposureCurveSlicedLNormPareto(4000,7,1.6,3000,1.4)

NetSimR documentation built on Oct. 25, 2023, 1:08 a.m.