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This article is cited in 4 scientific papers (total in 4 papers)
Limit theorems for power-series distributions with finite radius of convergence
A. N. Timashev Institute of Cryptography, Communications and Informatics, Academy of Federal Security Service of Russian Federation, Moscow
Abstract:
Sufficient conditions for the weak convergence of the distributions of
the random variables $(1-x)\xi_x$ as $x\to1-$ to the limiting gamma-distribution are put forward.
The random variable $\xi_x$ has power-series distribution with radius of convergence $1$ and parameter $x\in(0,1)$.
Limit theorems for the probabilities $\mathbf P\{\xi_x=k\}$ are proposed.
Asymptotic expansions of local probabilities are derived for sums of
independent identically distributed variables with the same distribution as $\xi_x$ in a triangular array with $x\to1-$.
For the corresponding general allocation scheme,
local limit theorems for the joint distributions of the occupancies of the cells are obtained.
Keywords:
power-series distributions, radius of convergence, triangular arrays, gamma-distribution, weak convergence.
Received: 19.05.2016 Revised: 29.03.2017 Accepted: 20.09.2017
Citation:
A. N. Timashev, “Limit theorems for power-series distributions with finite radius of convergence”, Teor. Veroyatnost. i Primenen., 63:1 (2018), 57–69; Theory Probab. Appl., 63:1 (2018), 45–56
Linking options:
https://www.mathnet.ru/eng/tvp5159https://doi.org/10.4213/tvp5159 https://www.mathnet.ru/eng/tvp/v63/i1/p57
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