Central Limit Theorem Approximations for the Number of Runs in Markov-dependent Multi-type Sequences

DOI10.1080/03610926.2013.814784zbMath1294.60044OpenAlexW2070664559MaRDI QIDQ5419652

Michael A. Zazanis, George C. Mytalas

Publication date: 11 June 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.814784

zbMATH Keywords

Markov chainspotential matrixrunscentral limit theorem for runsmulti state trials

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Probability distributions: general theory (60E05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)

Related Items (2)

On the concentration of runs of ones of length exceeding a threshold in a Markov chain ⋮ Joint distribution of \(k\)-tuple statistics in zero-one sequences of Markov-dependent trials

Cites Work

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• Signature based analysis of m -Consecutive-k -out-of-n : F systems with exchangeable components
• On a class of multiple failure mode systems
• Applied Probability and Queues

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