A Binomial Splitting Process in Connection with Corner Parking Problems. (December 2014)
- Record Type:
- Journal Article
- Title:
- A Binomial Splitting Process in Connection with Corner Parking Problems. (December 2014)
- Main Title:
- A Binomial Splitting Process in Connection with Corner Parking Problems
- Authors:
- Fuchs, Michael
Hwang, Hsien-Kuei
Itoh, Yoshiaki
Mahmoud, Hosam H. - Abstract:
- Abstract : This paper studies a special type of binomial splitting process. Such a process can be used to model a high dimensional corner parking problem as well as determining the depth of random PATRICIA (practical algorithm to retrieve information coded in alphanumeric) tries, which are a special class of digital tree data structures. The latter also has natural interpretations in terms of distinct values in independent and identically distributed geometric random variables and the occupancy problem in urn models. The corresponding distribution is marked by a logarithmic mean and a bounded variance, which is oscillating, if the binomial parameter p is not equal to ½, and asymptotic to one in the unbiased case. Also, the limiting distribution does not exist as a result of the periodic fluctuations.
- Is Part Of:
- Journal of applied probability. Volume 51:Number 4(2014)
- Journal:
- Journal of applied probability
- Issue:
- Volume 51:Number 4(2014)
- Issue Display:
- Volume 51, Issue 4 (2014)
- Year:
- 2014
- Volume:
- 51
- Issue:
- 4
- Issue Sort Value:
- 2014-0051-0004-0000
- Page Start:
- 971
- Page End:
- 989
- Publication Date:
- 2014-12
- Subjects:
- Binomial distribution, -- parking problem, -- periodic fluctuation, -- asymptotic approximation, -- digital tree, -- de-Poissonization
60C05, -- 68W40, -- 60F05
519.2 - Journal URLs:
- https://www.cambridge.org/core/journals/journal-of-applied-probability ↗
- DOI:
- 10.1017/S002190020001192X ↗
- Languages:
- English
- ISSNs:
- 0021-9002
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 5260.xml