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Lundberg Approximations for Compound Distributions with Insurance Applications

TLDR
In this article, the authors consider the problem of estimating the residual lifetime distribution and its mean for a set of classes of distributions and derive bounds on the ratio of discrete tail probabilities.
Abstract
1 Introduction.- 2 Reliability background.- 2.1 The failure rate.- 2.2 Equilibrium distributions.- 2.3 The residual lifetime distribution and its mean.- 2.4 Other classes of distributions.- 2.5 Discrete reliability classes.- 2.6 Bounds on ratios of discrete tail probabilities.- 3 Mixed Poisson distributions.- 3.1 Tails of mixed Poisson distributions.- 3.2 The radius of convergence.- 3.3 Bounds on ratios of tail probabilities.- 3.4 Asymptotic tail behaviour of mixed Poisson distributions.- 4 Compound distributions.- 4.1 Introduction and examples.- 4.2 The general upper bound.- 4.3 The general lower bound.- 4.4 A Wald-type martingale approach.- 5 Bounds based on reliability classifications.- 5.1 First order properties.- 5.2 Bounds based on equilibrium properties.- 6 Parametric Bounds.- 6.1 Exponential bounds.- 6.2 Pareto bounds.- 6.3 Product based bounds.- 7 Compound geometric and related distributions.- 7.1 Compound modified geometric distributions.- 7.2 Discrete compound geometric distributions.- 7.3 Application to ruin probabilities.- 7.4 Compound negative binomial distributions.- 8 Tijms approximations.- 8.1 The asymptotic geometric case.- 8.2 The modified geometric distribution.- 8.3 Transform derivation of the approximation.- 9 Defective renewal equations.- 9.1 Some properties of defective renewal equations.- 9.2 The time of ruin and related quantities.- 9.3 Convolutions involving compound geometric distributions.- 10 The severity of ruin.- 10.1 The associated defective renewal equation.- 10.2 A mixture representation for the conditional distribution.- 10.3 Erlang mixtures with the same scale parameter.- 10.4 General Erlang mixtures.- 10.5 Further results.- 11 Renewal risk processes.- 11.1 General properties of the model.- 11.2 The Coxian-2 case.- 11.3 The sum of two exponentials.- 11.4 Delayed and equilibrium renewal risk processes.- Symbol Index.- Author Index.

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Journal ArticleDOI

The classical risk model with a constant dividend barrier: analysis of the Gerber–Shiu discounted penalty function

TL;DR: In this article, an integro-differential equation for the Gerber-Shiu discounted penalty function is derived and solved, and the results are then used to find the Laplace transform of the time to ruin, the distribution of the surplus before ruin, and moments of the deficit at ruin.
Journal ArticleDOI

On some lifetime distributions with decreasing failure rate

TL;DR: A new two-parameter distribution family with decreasing failure rate arising by mixing power-series distribution and exponential distribution is introduced and various properties of this family are discussed and the estimation of parameters are obtained by method of maximum likelihood.
Journal ArticleDOI

The moments of the time of ruin, the surplus before ruin, and the deficit at ruin

TL;DR: In this paper, the authors extend the results in Lin and Willmot (1999 Insurance: Mathematics and Economics 25, 63, 84) to properties related to the joint and marginal moments of the time of ruin.
Journal ArticleDOI

Modeling and Evaluating Insurance Losses Via Mixtures of Erlang Distributions

TL;DR: In this paper, a modified expectation-maximization (EM) algorithm for parameter estimation tailored to this class of distributions is presented, and its computation efficiency is discussed, and goodness-of-fit tests are performed for data generated from some common parametric distributions and for catastrophic loss data in the United States.
Journal ArticleDOI

A generalized defective renewal equation for the surplus process perturbed by diffusion

TL;DR: In this article, the authors considered the surplus process of the classical continuous time risk model containing an independent diffusion process and proposed an asymptotic formula for the expected discounted penalty function.