Abstract <p>Let <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(X_{1},\ldots,X_{n}\)</EquationSource> <!--MMStat2670006Saadatkia-m1--> </InlineEquation> be unit gamma Gompertz <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\((UGG)\)</EquationSource> <!--MMStat2670006Saadatkia-m2--> </InlineEquation> random variables with <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(X_{i}\sim UGG(\alpha_{i},\beta_{i},\mu_{i};G)\)</EquationSource> <!--MMStat2670006Saadatkia-m3--> </InlineEquation> for <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(i=1,\ldots,n\)</EquationSource> <!--MMStat2670006Saadatkia-m4--> </InlineEquation> and <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(I_{p_{1}},\ldots,I_{p_{n}}\)</EquationSource> <!--MMStat2670006Saadatkia-m5--> </InlineEquation> are independent Bernoulli random variables, independent of the <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(X_{i}\)</EquationSource> <!--MMStat2670006Saadatkia-m6--> </InlineEquation>’s, with <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\(E(I_{p_{i}})=p_{i}\)</EquationSource> <!--MMStat2670006Saadatkia-m7--> </InlineEquation>, <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\(i=1,\ldots,n\)</EquationSource> <!--MMStat2670006Saadatkia-m8--> </InlineEquation>. Let <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\(Y_{i}=I_{p_{i}}X_{i}\)</EquationSource> <!--MMStat2670006Saadatkia-m9--> </InlineEquation>, for <InlineEquation ID="IEq10"> <EquationSource Format="TEX">\(i=1,\ldots,n\)</EquationSource> <!--MMStat2670006Saadatkia-m10--> </InlineEquation>. In actuarial science, <InlineEquation ID="IEq11"> <EquationSource Format="TEX">\(Y_{i}\)</EquationSource> <!--MMStat2670006Saadatkia-m11--> </InlineEquation> corresponds to the claim amount in a portfolio of risks. In this paper, we establish usual stochastic order and reversed hazard rate order between the largest claim amounts, by using the concept of vector majorization and related orders, when claim severities are independent. We also discuss stochastic comparisons between the smallest claim amounts in the sense of the usual stochastic order when claim severities are dependent. Further, we apply the results for some special cases of the unit gamma Gompertz model with possibly different parameters to illustrate.</p>

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Comparisons of the Smallest and Largest Claim Amounts with Unit Gamma Gompertz Claim Severities

  • Ghobad Saadat Kia Barmalzan,
  • Marzieh Shekari,
  • Zohreh Pakdaman,
  • Hossein Zamani

摘要

Abstract

Let \(X_{1},\ldots,X_{n}\) be unit gamma Gompertz \((UGG)\) random variables with \(X_{i}\sim UGG(\alpha_{i},\beta_{i},\mu_{i};G)\) for \(i=1,\ldots,n\) and \(I_{p_{1}},\ldots,I_{p_{n}}\) are independent Bernoulli random variables, independent of the \(X_{i}\) ’s, with \(E(I_{p_{i}})=p_{i}\) , \(i=1,\ldots,n\) . Let \(Y_{i}=I_{p_{i}}X_{i}\) , for \(i=1,\ldots,n\) . In actuarial science, \(Y_{i}\) corresponds to the claim amount in a portfolio of risks. In this paper, we establish usual stochastic order and reversed hazard rate order between the largest claim amounts, by using the concept of vector majorization and related orders, when claim severities are independent. We also discuss stochastic comparisons between the smallest claim amounts in the sense of the usual stochastic order when claim severities are dependent. Further, we apply the results for some special cases of the unit gamma Gompertz model with possibly different parameters to illustrate.