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On the rate of convergence in the central limit theorem for random sums of strongly mixing random variables

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We present upper bounds for supx ∈ ℝ|P{ZN  0 (SN = X1 + ⋯ + XN) of centered strongly mixing or uniformly strongly mixing random variables X1, X2, . . . . Here the number of summands N is a… Click to show full abstract

We present upper bounds for supx ∈ ℝ|P{ZN < x} − Φ(x)|, where Φ(x) is the standard normal distribution function, for random sums ZN=SN/VSN$$ {Z}_N={S}_N/\sqrt{\mathbf{V}{S}_N} $$ with variances VSN > 0 (SN = X1 + ⋯ + XN) of centered strongly mixing or uniformly strongly mixing random variables X1, X2, . . . . Here the number of summands N is a nonnegative integer-valued random variable independent of X1,X2, . . . .

Keywords: random variables; random sums; rate convergence; random; mixing random; strongly mixing

Journal Title: Lithuanian Mathematical Journal
Year Published: 2018

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