Run Statistics in a Sequence of Arbitrarily Dependent Binary Trials
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Date
2010
Authors
Eryılmaz, Serkan
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
Let {Z (i) } (ia parts per thousand yen1) be an arbitrary sequence of trials with two possible outcomes either success (1) or failure (0). General expressions for the exact distributions of runs, both success and failure, in Z (1), . . . , Z (n) are presented. Our method is based on the use of joint distribution of success and failure run lengths and unifies the results on distribution of runs. As a special case of our results we obtain the distributions of runs for various binary sequences. As illustrated in the paper the results enable us to derive the distribution of runs for binary trials arising in urn models.
Description
ORCID
Keywords
Binary trials, Exchangeable trials, Markov dependent trials, Records, Runs, Urn model, Success Runs, Order-K, Distributions, Length, Number, Polya, Markov dependent trials, Binary trials, Records, Runs, Exchangeable trials, Urn model, records, exchangeable trials, Combinatorial probability, Exact distribution theory in statistics, urn model, runs
Fields of Science
0101 mathematics, 01 natural sciences
Citation
WoS Q
Q3
Scopus Q
Q2

OpenCitations Citation Count
17
Source
Statıstıcal Papers
Volume
51
Issue
4
Start Page
959
End Page
973
PlumX Metrics
Citations
CrossRef : 15
Scopus : 20
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Mendeley Readers : 3
SCOPUS™ Citations
20
checked on Mar 25, 2026
Web of Science™ Citations
17
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Page Views
1
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