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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Biometrika
Article . 1967 . Peer-reviewed
Data sources: Crossref
Biometrika
Article . 1967 . Peer-reviewed
Data sources: Crossref
Biometrika
Article . 1967
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Integrals of branching processes

Authors: Peter Jagers;

Integrals of branching processes

Abstract

SUMMARY For age-dependent branching processes X(t) integrals of the type Y(t) = f X(s) ds are studied. These may be looked upon as a measure of the amount of toxins produced in time (0, t) by a colony of bacteria. An integral equation for the moment generating function of {X(t), Y(t)} is deduced and used to analyze the asymptotic behaviour of the two first moments of the vector. A functional equation is found that determines the limit distribution of Y(t) uniquely, and an iterative method of solving the equation is given. An application is made to the case of binary splitting with exponential life-lengths, and last the convergence of the process [X(t)/E{X(t)}, Y(t)/E{Y(t)}] is studied.

Keywords

probability theory, Virology, Bacteriology, Mathematics, Probability

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
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