Two limit theorems for Markov binomial distribution

DOI10.1007/s10986-015-9291-yzbMath1326.60029OpenAlexW1182612127MaRDI QIDQ746985

Vydas Čekanavičius, Jūrateė Šliogere

Publication date: 22 October 2015

Published in: Lithuanian Mathematical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10986-015-9291-y

zbMATH Keywords

infinitely divisible distributionslimit theoremstotal variation normcompound Poisson approximationgeometric distributionlocal normMarkov binomial distribution

Mathematics Subject Classification ID

Infinitely divisible distributions; stable distributions (60E07) Central limit and other weak theorems (60F05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)

Related Items (4)

Compound Poisson approximation ⋮ Approximations for sums of three-valued 1-dependent symmetric random variables ⋮ Infinitely divisible approximations for sums of \(m\)-dependent random variables ⋮ Asymptotics for the sum of three state Markov dependent random variables

Cites Work

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