In this paper, we focus on the first significant digit (FSD) distribution of European micro income data and use information theoretic-entropy based methods to investigate the degree to which Benford's FSD law is consistent with the nature of these economic behavioral systems. We demonstrate that Benford's law is not an empirical phenomenon that occurs only in important distributions in physical statistics, but that it also arises in self-organizing dynamic economic behavioral systems. The empirical likelihood member of the minimum divergence-entropy family, is used to recover country based income FSD probability density functions and to demonstrate the implications of using a Benford prior reference distribution in economic behavi...
Benford's law is nowadays extremely popular (see e.g. http://en.wikipedia.org/...). It is usually cl...
In 1881, Newcomb conjectured that the first significant digits (FSDs) of numbers in statistical tabl...
Context. Benford’s law states that for scale- and base-invariant data sets covering a wide dynamic r...
In this paper, we consider the question and present evidence as to whether or not Benford’s exponent...
Since Benford’s law is an empirical phenomenon that occurs in a range of data sets, this raises the ...
A mathematical expression known as Benford’s law provides an example of an unex-pected relationship ...
The history of the so called “Benford’s Law”, which concerns the distribution of the first significa...
First and higher order digits in data sets of natural and socio-economic processes often follow a di...
The quasi-empirical Benford law predicts that the distribution of the first significant digit of ran...
The 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23-27 August 2021Man...
Benford distributions of leading digits arise in a multitude of everyday settings, yet the establish...
The occurrence of the nonzero leftmost digit, i.e., 1, 2, ... ,9, of numbers from many real world so...
First and higher order digits in data sets of natural and socio-economic processes often follow a di...
In this paper, we will see that the proportion of d as leading digit, d ∈ 1, 9, in data (obtained th...
Benford's law states that the leading digits of many data sets are not uniformly distributed from on...
Benford's law is nowadays extremely popular (see e.g. http://en.wikipedia.org/...). It is usually cl...
In 1881, Newcomb conjectured that the first significant digits (FSDs) of numbers in statistical tabl...
Context. Benford’s law states that for scale- and base-invariant data sets covering a wide dynamic r...
In this paper, we consider the question and present evidence as to whether or not Benford’s exponent...
Since Benford’s law is an empirical phenomenon that occurs in a range of data sets, this raises the ...
A mathematical expression known as Benford’s law provides an example of an unex-pected relationship ...
The history of the so called “Benford’s Law”, which concerns the distribution of the first significa...
First and higher order digits in data sets of natural and socio-economic processes often follow a di...
The quasi-empirical Benford law predicts that the distribution of the first significant digit of ran...
The 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23-27 August 2021Man...
Benford distributions of leading digits arise in a multitude of everyday settings, yet the establish...
The occurrence of the nonzero leftmost digit, i.e., 1, 2, ... ,9, of numbers from many real world so...
First and higher order digits in data sets of natural and socio-economic processes often follow a di...
In this paper, we will see that the proportion of d as leading digit, d ∈ 1, 9, in data (obtained th...
Benford's law states that the leading digits of many data sets are not uniformly distributed from on...
Benford's law is nowadays extremely popular (see e.g. http://en.wikipedia.org/...). It is usually cl...
In 1881, Newcomb conjectured that the first significant digits (FSDs) of numbers in statistical tabl...
Context. Benford’s law states that for scale- and base-invariant data sets covering a wide dynamic r...