descriptionPublicationkeyboard_double_arrow_right Article 01 Apr 1969 English Publisher:Cambridge University Press (CUP)Journal:Journal of Applied Probability, volume 6, pages 1-18 (issn: 0021-9002, eissn: 1475-6072,

Authors: J.F.C. Kingman;

doi: 10.2307/3212273 , 10.1017/s0021900200032502

Markov population processes

- Summary
- Subjects
- Metrics

Abstract

SummaryThe processes of the title have frequently been used to represent situations involving numbers of individuals in different categories or colonies. In such processes the state at any time is represented by the vectorn= (n1,n2, …,nk),where ntis the number of individuals in theith colony, and the random evolution ofnis supposed to be that of a continuous-time Markov chain. The jumps of the chain may be of three types, corresponding to the arrival of a new individual, the departure of an existing one, or the transfer of an individual from one colony to another.

Related Organizations

University of Sussex
United Kingdom

Keywords

probability theory

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	154
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%