Developments of the Markov chain approach within the distribution theory of runs.
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Publication:5940876
DOI10.1016/S0167-9473(00)00031-1zbMath1080.62559OpenAlexW2052274250MaRDI QIDQ5940876
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Publication date: 20 August 2001
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(00)00031-1
Quality controlAmino acids sequencesBernoulli random variablesFinite Markov chain imbedding approachScan statistics
Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics (62P99)
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Cites Work
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- New recursive methods for scan statistic probabilities
- On binomial distributions of order k
- Tight bounds and approximations for scan statistic probabilities for discrete data
- Reliabilities for \((n,f,k)\) systems
- Runs, scans and urn model distributions: A unified Markov chain approach
- Locating a changed segment in a sequence of Bernoulli variables
- Approximations for Distributions of Scan Statistics
- Distribution Theory of Runs: A Markov Chain Approach
- Power of the scan statistic in detecting a changed segment in a Bernoulli sequence
- The Distribution Theory of Runs
- On the Theory of Runs with some Applications to Quality Control
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