Approximation by the Dickman distribution and quasi-logarithmic combinatorial structures

4Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Quasi-logarithmic combinatorial structures are a class of decomposable combinatorial structures which extend the logarithmic class considered by Arratia, Barbour and Tavaré (2003). In order to obtain asymptotic approximations to their component spectrum, it is necessary first to establish an approximation to the sum of an associated sequence of independent random variables in terms of the Dickman distribution. This in turn requires an argument that refines the Mineka coupling by incorporating a blocking construction, leading to exponentially sharper coupling rates for the sums in question. Applications include distributional limit theorems for the size of the largest component and for the vector of counts of the small components in a quasilogarithmic combinatorial structure. © 2011 Applied Probability Trust.

Cite

CITATION STYLE

APA

Barbour, A. D., & Nietlispach, B. (2011). Approximation by the Dickman distribution and quasi-logarithmic combinatorial structures. Electronic Journal of Probability, 16, 880–902. https://doi.org/10.1214/EJP.v16-881

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free