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Strong Approximation Theorems for Sums of Random Variables when Extreme Terms are Excluded

机译:排除极端项时的随机变量和的强逼近定理

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Let [X_n; n≥1] be a sequence of i. i. d. random variables and let X~(r)_n=|X_j| is the r-th maximum of |x_1|,...,|X_n|. Let S_n=X_1+...+X_n and (r) S_n=S_n-(X~(1)_N...+x~(r)_N). Sufficient and necessary conditions for (r)~Sn approximating to sums of independent normal random variables are obtained. Via approximation results, the convergence rates of the strong law of large numbers for (r)S_n are studied.
机译:让[X_n; n≥1]是i的序列。一世。 d。随机变量,让X〜(r)_n = | X_j |是| x_1 |,...,| X_n |的第r个最大值。令S_n = X_1 + ... + X_n和(r)S_n = S_n-(X〜(1)_N ... + x〜(r)_N)。获得了(r)〜Sn逼近独立正态随机变量之和的充分必要条件。通过逼近结果,研究了(r)S_n的大数定律的收敛速度。

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