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首页> 外文期刊>Journal of Multivariate Analysis: An International Journal >On the Strong Law of Large Numbers and the Law of the Logarithm for Weighted Sums of Independent Random Variables with Multidimensional Indices
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On the Strong Law of Large Numbers and the Law of the Logarithm for Weighted Sums of Independent Random Variables with Multidimensional Indices

机译:关于多维索引的独立随机变量加权总和的大量大量法律规律

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摘要

Let{X_1,X_n;n∈Ν~d}he a field of independent identically distributed real random variables, a{X_1,X_n;n∈Ν~d} triangular array of real numbers, where Ν~d is the is mensional lattice. Under Ihe minimal condition that sup_nk,k|a_nk| <∞ we show that |n|~(-1)/p∑_k≤nA_n,kX_k→0 as |n|→ ∞ if and only if E(|X|~p(L|X|)~(d-1) <∞ provided d≤2 In the above, if 1≤P <2. In the random variables aic needed to be centered at the mean. By establishing a certain law of the logarithm, we show that the Law of the Iterated Logarithm fails for the weighted sums ∑_≤na_(nk)X_kkunder the condilktns that EX=0, EX~2<∞, and E(X~2(L|X|)d~(-1)/L_2|X|)<∞ for almost all bounded families {X_1,X_n;n∈Ν~dK≤n} of numbers.
机译:让{x_1,x_n;n∈ν〜d}他是独立相同分布的真正随机变量的领域,一个{x_1,x_n;n∈ν〜d}的实数的三角形阵列,其中ν~d是宗派格子 。 在ihe up_nk,k | a_nk |的最小条件下 <∞我们显示| N |〜(-1)/pς_k≤na_n,kx_k→0作为| n |→∞如果e(| x |〜p(l | x |)〜(d- 1)<∞在上面提供D≤2,如果1≤p<2。在随机变量中,所需的AIC需要以平均值为中心。通过建立对数的某个法律,我们表明迭代对数的定律 EX = 0,EX〜2 <∞和e(x〜2(l | x |)d〜(-1)/ l_2 | x |的加权总和σ_≤na_(nk)x_kkkys x_kkkunders失败了 对于几乎所有有界系列的{x_1,x_n;n∈〜dk≤n}数字。

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