EconPapers    
Economics at your fingertips  
 

On the gambler's ruin problem for a finite Markov chain

M.A. El-Shehawey

Statistics & Probability Letters, 2009, vol. 79, issue 14, 1590-1595

Abstract: In this paper we present closed-form formulas for the solutions of the gambler's ruin problem for a finite Markov chain where probabilities of winning or losing a particular game depending on the amount of the current fortune, from probability boundary conditions' viewpoint, and provide some very simple closed forms which immediately lead to exact and explicit formulas for some special cases, depending on the relationships between the transition probabilities and the boundary condition probabilities.

Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(09)00125-4
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:79:y:2009:i:14:p:1590-1595

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:79:y:2009:i:14:p:1590-1595