Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-30T23:17:07.050Z Has data issue: false hasContentIssue false

A stochastic population process and its application to bubble chamber measurements

Published online by Cambridge University Press:  14 July 2016

P. J. Brockwell
Affiliation:
Argonne National Laboratory
J. E. Moyal
Affiliation:
Argonne National Laboratory

Extract

A particle travels along the half-line [0,∞) in such a way that it has probability λδu + o(δu) of generating an event in any small element (u,u + δu) of its track. The particle is observed only in the line segment 0 ≦ ux and successive events occur at X1, X2, …, Xn (0 ≦ X1X2 ≦ … ≦ Xnx) where X1, …,Xn are random variables and the number n of events in [0, x] is also random. The distances constitute a finite univariate population process as defined by Moyal [1], the individuals being the distances Yi with state space [0, x].

Type
Short Communications
Copyright
Copyright © Sheffield: Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Moyal, J. E. (1962) The general theory of stochastic population processes. 108, 131.Google Scholar