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Let $X_{lambda_1}, ldots , X_{lambda_n}$ be independent non-negative random variables belong to the transmuted-G model and let $Y_i=I_{p_i} X_{lambda_i}$, $i=1,ldots,n$, where $I_{p_1}, ldots, I_{p_n}$ are independent Bernoulli random variables independent of $X_{lambda_i}$s, with ${rm E}[I_{p_i}]=p_i$, $i=1,ldots,n$. In actuarial sciences, $Y_i$ corresponds to the claim amount in a portfolio of risks. In this paper we compare the smallest and the largest claim amounts of two sets of independent portfolios belonging to the transmuted-G model, in the sense of usual stochastic order, hazard rate order and dispersive order, when the variables in one set have the parameters $lambda_1,ldots,lambda_n$ and the variables in the other set have the parameters $lambda^{*}_1,ldots,lambda^{*}_n$. For illustration we apply the results to the transmuted-G exponential and the transmuted-G Weibull models.
Let $ X_{lambda_1},ldots,X_{lambda_n}$ be dependent non-negative random variables and $Y_i=I_{p_i} X_{lambda_i}$, $i=1,ldots,n$, where $I_{p_1},ldots,I_{p_n}$ are independent Bernoulli random variables independent of $X_{lambda_i}$s, with ${rm E}[I_{
Let $ X_{lambda_1},ldots,X_{lambda_n}$ be a set of dependent and non-negative random variables share a survival copula and let $Y_i= I_{p_i}X_{lambda_i}$, $i=1,ldots,n$, where $I_{p_1},ldots,I_{p_n}$ be independent Bernoulli random variables independ
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