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GENERALIZED HYPERBOLIC LAWS AS LIMIT DISTRIBUTIONS FOR RANDOM SUMS

机译:广义双曲线定律作为随机和的极限分布

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摘要

A general theorem is proved stating necessary and sufficient conditions for the convergence of the distributions of sums of a random number of independent identically distributed random variables to one-parameter variance-mean mixtures of normal laws. As a corollary, necessary and sufficient conditions for convergence of the distributions of sums of a random number of independent identically distributed random variables to generalized hyperbolic laws are obtained. Convergence rate estimates are presented for a particular case of special continuous time random walks generated by compound doubly stochastic Poisson processes.
机译:证明了一个一般性定理,它指出了将随机数的独立相同分布的随机变量之和的分布收敛到法则的一参数方差-均值混合所必需的和充分的条件。作为推论,获得了使随机数的独立相等分布随机变量之和的分布收敛于广义双曲线定律的必要和充分条件。针对由复合双随机泊松过程产生的特殊连续时间随机游动的特定情况,给出了收敛速率估计。

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