A generating function approach to Markov chains undergoing binomial catastrophes. Issue 3 (4th March 2021)
- Record Type:
- Journal Article
- Title:
- A generating function approach to Markov chains undergoing binomial catastrophes. Issue 3 (4th March 2021)
- Main Title:
- A generating function approach to Markov chains undergoing binomial catastrophes
- Authors:
- Goncalves, B
Huillet, T - Abstract:
- Abstract: In a Markov chain population model subject to catastrophes, random immigration events (birth), promoting growth, are in balance with the effect of binomial catastrophes that cause recurrent mass removal (death). Using a generating function approach, we study two versions of such population models when the binomial catastrophic events are of a slightly different random nature. In both cases, we describe the subtle balance between the two birth and death conflicting effects.
- Is Part Of:
- Journal of statistical mechanics. Issue 3(2021)
- Journal:
- Journal of statistical mechanics
- Issue:
- Issue 3(2021)
- Issue Display:
- Volume 1000075, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 1000075
- Issue:
- 3
- Issue Sort Value:
- 2021-1000075-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03-04
- Subjects:
- exact results -- growth processes -- population dynamics -- stochastic processes
Statistical mechanics -- Periodicals
Mechanics -- Statistical methods -- Periodicals
530.1305 - Journal URLs:
- http://ioppublishing.org/ ↗
- DOI:
- 10.1088/1742-5468/abdfcb ↗
- Languages:
- English
- ISSNs:
- 1742-5468
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16552.xml