An asymptotic conditional test of independence in Bernoulli sequences using the number of runs given the number of successes

DOI10.1007/s13171-019-00176-1zbMath1465.62145OpenAlexW2963160593MaRDI QIDQ2023832

Sungsu Kim, Chong Jin Park

Publication date: 3 May 2021

Published in: Sankhyā. Series A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13171-019-00176-1

zbMATH Keywords

probability distributionbinary datafactorial momenttest of independencenumber of runsFrobenius-Harper technique

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Non-Markovian processes: hypothesis testing (62M07)

Cites Work

• Unnamed Item
• On the distribution of the total number of run lengths
• On waiting time distribution of runs of ones or zeros in a Bernoulli sequence
• An Introduction to Probability and Statistics
• On hypergeometric and related distributions of order k
• Zero covariance and independence for some random pairs
• Estimation of the Parameters in Stationary Autoregressive Processes after Hard Limiting
• The Frobenius–Harper technique in a general recurrence model
• Successes, runs and longest runs

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