Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/864
Title: Run statistics in a sequence of arbitrarily dependent binary trials
Authors: Demir, Sevcan
Eryılmaz, Serkan
Keywords: Binary trials
Exchangeable trials
Markov dependent trials
Records
Runs
Urn model
Success Runs
Order-K
Distributions
Length
Number
Polya
Publisher: Springer
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.
URI: https://doi.org/10.1007/s00362-008-0191-7
https://hdl.handle.net/20.500.14365/864
ISSN: 0932-5026
1613-9798
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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