Run Statistics in a Sequence of Arbitrarily Dependent Binary Trials

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Date

2010

Authors

Eryılmaz, Serkan

Journal Title

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Volume Title

Publisher

Springer

Open Access Color

Green Open Access

No

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Top 10%
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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

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
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OpenCitations Citation Count
17

Source

Statıstıcal Papers

Volume

51

Issue

4

Start Page

959

End Page

973
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CrossRef : 15

Scopus : 20

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Mendeley Readers : 3

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20

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Web of Science™ Citations

17

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1

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