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Export Reference (APA) 
Ferreira, M. A. M. (2021). Computing customers sojourn times in Jackson networks distribution functions and moments. In Luigi  Giacomo Rodino (Ed.), Current topics on mathematics and computer science. (pp. 123-135). Hooghly: Book Publisher International.
Export Reference (IEEE) 
M. A. Ferreira,  "Computing customers sojourn times in Jackson networks distribution functions and moments", in Current topics on mathematics and computer science, Luigi  Giacomo Rodino, Ed., Hooghly, Book Publisher International, 2021, vol. 1, pp. 123-135
Export BibTeX 
@incollection{ferreira2021_1766417514421,
	author = "Ferreira, M. A. M.",
	title = "Computing customers sojourn times in Jackson networks distribution functions and moments",
	chapter = "",
	booktitle = "Current topics on mathematics and computer science",
	year = "2021",
	volume = "1",
	series = "",
	edition = "",
	pages = "123-123",
	publisher = "Book Publisher International",
	address = "Hooghly",
	url = "https://stm.bookpi.org/CTMCS-V1/issue/view/135"
}
Export RIS 
TY  - CHAP
TI  - Computing customers sojourn times in Jackson networks distribution functions and moments
T2  - Current topics on mathematics and computer science
VL  - 1
AU  - Ferreira, M. A. M.
PY  - 2021
SP  - 123-135
DO  - 10.9734/bpi/ctmcs/v1/9530D
CY  - Hooghly
UR  - https://stm.bookpi.org/CTMCS-V1/issue/view/135
AB  - Jackson queuing networks have a lot of practical applications, mainly in services and technologic devices. For the first case, an example are the healthcare networks and, for the second, the computation and telecommunications networks. Evidently the time that a customer - a person, a job, a message … – spends in this kind of systems, its sojourn time[1], is an important measure of its performance, among others. In this work, the practical statistical known results about the sojourn time of a customer, in a Jackson network, distribution are collected and presented. And an emphasis is set on the numerical methods applicable to compute the distribution function and the moments.  
ER  -