Communications in Statistics - Theory and Methods 44(4), pp. 698-709.
ISSN/ISBN: Not available at this time. DOI: 10.1080/03610926.2012.752849
Abstract: Given a random variable ξ we present three different constructions of a family F of random variables such that ξ ∈ F and such that a mixture of the elements of F, either satisfies Benford’s law exactly, or it satisfies Benford’s law with any preassigned degree of accuracy.
Bibtex:
@article{,
author = {Eugenio P. Balanzario},
title = {Benford's Law for Mixtures},
journal = {Communications in Statistics - Theory and Methods},
volume = {44},
number = {4},
pages = {698-709},
year = {2015},
publisher = {Taylor & Francis},
doi = {10.1080/03610926.2012.752849},
URL = {
https://doi.org/10.1080/03610926.2012.752849},
}
Reference Type: Journal Article
Subject Area(s): Probability Theory