A Note on Generalization of the Simplest Time-Dependent Discrete Markov Process: Linear Growth Process With Immigration-Emigration
Lineargrowth process with immigration and emigration is the general model in the study of population in biological and ecological systems, and their transient analysis is the most important factor in the understanding of the structural behavior of such systems. The probability-generating function π(...
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2021-02-01
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doaj-a5fe65b3da374c5f9943d4b81474c0112021-03-16T16:32:44ZengAtlantis PressJournal of Statistical Theory and Applications (JSTA)2214-17662021-02-0120110.2991/jsta.d.210126.003A Note on Generalization of the Simplest Time-Dependent Discrete Markov Process: Linear Growth Process With Immigration-EmigrationBijoy Kumar PradhanPriyaranjan DashUpasanaLineargrowth process with immigration and emigration is the general model in the study of population in biological and ecological systems, and their transient analysis is the most important factor in the understanding of the structural behavior of such systems. The probability-generating function π(z, t) of the probability distribution {pn(t)} of the random variable N(t) in many queuing situations concerning Birth, Death, Immigration, and Emigration were studied and we find the generalization of the transient solutions of the queuing systems and also studied its particular cases.https://www.atlantis-press.com/article/125952320/viewBirthDeathImmigration and Emigration ProcessLinear growth process |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bijoy Kumar Pradhan Priyaranjan Dash Upasana |
spellingShingle |
Bijoy Kumar Pradhan Priyaranjan Dash Upasana A Note on Generalization of the Simplest Time-Dependent Discrete Markov Process: Linear Growth Process With Immigration-Emigration Journal of Statistical Theory and Applications (JSTA) Birth Death Immigration and Emigration Process Linear growth process |
author_facet |
Bijoy Kumar Pradhan Priyaranjan Dash Upasana |
author_sort |
Bijoy Kumar Pradhan |
title |
A Note on Generalization of the Simplest Time-Dependent Discrete Markov Process: Linear Growth Process With Immigration-Emigration |
title_short |
A Note on Generalization of the Simplest Time-Dependent Discrete Markov Process: Linear Growth Process With Immigration-Emigration |
title_full |
A Note on Generalization of the Simplest Time-Dependent Discrete Markov Process: Linear Growth Process With Immigration-Emigration |
title_fullStr |
A Note on Generalization of the Simplest Time-Dependent Discrete Markov Process: Linear Growth Process With Immigration-Emigration |
title_full_unstemmed |
A Note on Generalization of the Simplest Time-Dependent Discrete Markov Process: Linear Growth Process With Immigration-Emigration |
title_sort |
note on generalization of the simplest time-dependent discrete markov process: linear growth process with immigration-emigration |
publisher |
Atlantis Press |
series |
Journal of Statistical Theory and Applications (JSTA) |
issn |
2214-1766 |
publishDate |
2021-02-01 |
description |
Lineargrowth process with immigration and emigration is the general model in the study of population in biological and ecological systems, and their transient analysis is the most important factor in the understanding of the structural behavior of such systems. The probability-generating function π(z, t) of the probability distribution {pn(t)} of the random variable N(t) in many queuing situations concerning Birth, Death, Immigration, and Emigration were studied and we find the generalization of the transient solutions of the queuing systems and also studied its particular cases. |
topic |
Birth Death Immigration and Emigration Process Linear growth process |
url |
https://www.atlantis-press.com/article/125952320/view |
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