Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/44998
Title: Approximating a cumulative distribution function by generalized hyperexponential distributions
Authors: Ou, J. 
Li, J. 
Özekici, S.
Issue Date: 1997
Source: Ou, J.,Li, J.,Özekici, S. (1997). Approximating a cumulative distribution function by generalized hyperexponential distributions. Probability in the Engineering and Informational Sciences 11 (1) : 11-18. ScholarBank@NUS Repository.
Abstract: Recent developments in stochastic modeling show that enormous analytical advantages can be gained if a general cumulative distribution function (c.d.f.) can be approximated by generalized hyperexponential distributions. In this paper, we introduce a procedure to explicitly construct such approximations of an arbitrary c.d.f. Although our approach can be used in different types of stochastic models, the main motivation comes from queueing theory in obtaining approximations of the idle-period distribution and other performance measures in GI/G/1 queues.
Source Title: Probability in the Engineering and Informational Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/44998
ISSN: 02699648
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

59
checked on Dec 8, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.