title: Weibull-type limiting distribution for replicative systems.
abstract: The Weibull function is widely used to describe skew distributions observed in nature. However, the origin of this ubiquity is not always obvious to explain. In the present paper, we consider the well-known Galton-Watson branching process describing simple replicative systems. The shape of the resulting distribution, about which little has been known, is found essentially indistinguishable from the Weibull form in a wide range of the branching parameter; this can be seen from the exact series expansion for the cumulative distribution, which takes a universal form. We also find that the branching process can be mapped into a process of aggregation of clusters. In the branching and aggregation process, the number of events considered for branching and aggregation grows cumulatively in time, whereas, for the binomial distribution, an independent event occurs at each time with a given success probability.
authors.affiliation: Laboratory of Biological Modeling, NIDDK, National Institutes of Health, Bethesda, Maryland 20892, USA.
authors.forename: Junghyo
authors.initials: J
authors.lastname: Jo
authors.forename: Jean-Yves
authors.initials: JY
authors.lastname: Fortin
authors.forename: M Y
authors.initials: MY
authors.lastname: Choi
mesh_terms: D000818:Animals; D001703:Biophysics / Q000379:methods; D002455:Cell Division; D008954:Models, Biological; D015233:Models, Statistical; D008962:Models, Theoretical; D009010:Monte Carlo Method; D016011:Normal Distribution; D010825:Physics / Q000379:methods*; D011336:Probability; D016008:Statistical Distributions