Run Statistics Defined on the Multicolor Urn Model
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Date
2008
Authors
Eryılmaz, Serkan
Journal Title
Journal ISSN
Volume Title
Publisher
Applied Probability Trust
Open Access Color
BRONZE
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Recently, Makri, Philippou and Psillakis (2007b) studied the exact distribution of success run statistics defined on an urn model. They derived the exact distributions of various success run statistics for a sequence of binary trials generated by the Polya-Eggenberger sampling scheme. In Our study we derive the joint distributions of run statistics defined on the multicolor urn model using a simple unified combinatorial approach and extend some of the results of Makri, Philippou and Psillakis (2007b). As a consequence of our results, we obtain the joint distributions of success and failure runs defined on the two-color urn model. The results enable us to compute the characteristics of particular consecutive-type systems and start-up demonstration tests.
Description
ORCID
Keywords
Consecutive-k, r-out-of-n: DFM system, Dirichlet measure, multicolor Polya sampling scheme, multistate exchangeable trial, runs, start-up demonstration test, waiting time, Success Runs, Multistate Trials, Consecutive-K, Markov-Chain, Joint Distributions, Quality-Control, Control Charts, Longest Runs, Sequence, Length, Combinatorial probability, \(r\)-out-of-\(n\): DFM system, runs, start-up demonstration test, Exact distribution theory in statistics, consecutive-\(k\), multicolor Pólya sampling scheme, waiting time, multistate exchangeable trial, Dirichlet measure
Fields of Science
0101 mathematics, 01 natural sciences
Citation
WoS Q
Q4
Scopus Q
Q3

OpenCitations Citation Count
24
Source
Journal of Applıed Probabılıty
Volume
45
Issue
4
Start Page
1007
End Page
1023
PlumX Metrics
Citations
CrossRef : 24
Scopus : 22
Captures
Mendeley Readers : 3
SCOPUS™ Citations
22
checked on Mar 17, 2026
Web of Science™ Citations
17
checked on Mar 17, 2026
Downloads
4
checked on Mar 17, 2026
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