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Extreme value distributions of mixing two sequences with different MDA's

机译:将两个序列与不同MDA混合在一起的极值分布

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Suppose {X_i, i≥1} and {Y_i, i≥1} are two independent sequences with distribution functions F_X(X) and F_Y(x), respectively. Z_(i, n) is the combination of X_i and Y_i with a probability ρ_n for each i with 1≤i≤n. The extreme value distribution G _Z(x) of this particular triangular array of the i.i.d. random variables Z_(1,n), Z_(2,n),t, Z_(n,n) is discussed,. We found a new form of the extreme value distribution A~A(ρx)A(x)(0 <1), which is not max-stable It occurs if F_X(X) and F_Y(x) belong to the same MDA(A). G_Z(x) does not exist as mixture forms of the different types of extreme value distributions.
机译:假设{X_i,i≥1}和{Y_i,i≥1}是两个独立的序列,分别具有分布函数F_X(X)和F_Y(x)。 Z_(i,n)是X_i和Y_i的组合,每个i的概率为ρ_n,且1≤i≤n。 i.i.d的这个特定三角形阵列的极值分布G _Z(x)。讨论了随机变量Z_(1,n),Z_(2,n),t,Z_(n,n)。我们发现了极值分布A〜A(ρx)A(x)(0 <1)的新形式,它不是最大稳定的,如果F_X(X)和F_Y(x)属于同一个MDA(A)。 G_Z(x)不存在为不同类型的极值分布的混合形式。

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