Joint distributions of numbers of runs of specified lengths in a sequence of Markov dependent multistate trials
DOI10.1007/s10463-006-0056-6zbMath1124.62004OpenAlexW2169248035MaRDI QIDQ2457974
Publication date: 24 October 2007
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-006-0056-6
momentsprobability functionprobability generating functionMarkov chainconditional distributionrecursive schemerunsenumeration schemesdouble generating functionmultistate trials
Exact distribution theory in statistics (62E15) Characteristic functions; other transforms (60E10) Continuous-time Markov processes on discrete state spaces (60J27)
Related Items (6)
Cites Work
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- On binomial distributions of order k
- Formulae and recursions for the joint distributions of success runs of several lengths in a two-state Markov chain
- An application of the method of finite Markov chain imbedding to runs tests
- Formulae and recursions for the joint distribution of success runs of several lengths
- Start-up demonstration tests under Markov dependence model with corrective actions
- Non-parametric randomness tests based on success runs of fixed length
- On the distribution of the total number of run lengths
- Joint distributions associated with patterns, successes and failures in a sequence of multi-state trials
- Generalized binomial and negative binomial distributions of order \(k\) by the \(\ell\)-overlapping enumeration scheme
- Runs, scans and urn model distributions: A unified Markov chain approach
- Joint distributions of runs in a sequence of multi-state trials
- Poisson approximation and dna sequence matching
- Multiple Runs Distributions: Recurrences and Critical Values
- Distribution Theory of Runs: A Markov Chain Approach
- On the conditional and unconditional distributions of the number of runs in a sample from a multisymbol alphabet
- Waiting Times and Number of Appearances of Runs: A Unified Approach
- Joint distributions of successes, failures and patterns in enumeration problems
- On a class of multiple failure mode systems
- On a Test Whether Two Samples are from the Same Population
- The Distribution Theory of Runs
- Numbers of success-runs of specified length until certain stopping time rules and generalized binomial distributions of order \(k\)
- Distributions of numbers of success runs of fixed length in Markov dependent trials
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