solveLund {RcmdrPlugin.RiskDemo}

Solving Lund's exponent

Description

This function solves Lund's exponent or adjustment coefficient. The claim sizes are assumed to be gamma distributed.

Usage

solveLund(alpha, beta, theta)

Arguments

alpha

shape parameter of gamma distribution

beta

rate parameter of gamma distribution

theta

safety loading

Value

Lundberg's exponent (or adjustment coefficient)

Author(s)

Arto Luoma <[e-mail]>

References

Gray and Pitts (2012) Risk Modelling in General Insurance: From Principles to Practice, Cambridge University Press.

See Also

computeRuin, computeRuinFinite

Examples

solveLund(1,1,0.1)