SlicedLNormParetoMean: Sliced LogNormal Pareto mean

In NetSimR: Actuarial Functions for Non-Life Insurance Modelling

Sliced LogNormal Pareto mean

Description

Sliced LogNormal Pareto mean

Usage

SlicedLNormParetoMean(mu, sigma, SlicePoint, shape)

Arguments

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 mean of the claim severity with an attritional claim LogNormal distribution with parameters mu and sigma and a large claim Pareto distribution with parameters SlicePoint and shape.

Examples

SlicedLNormParetoMean(6,1.5,1000,1.2)
SlicedLNormParetoMean(6.5,1.4,2000,1.6)
SlicedLNormParetoMean(7,1.6,3000,1.4)

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