Explaining the uneven distribution of numbers in nature: the laws of Benford and Zipf

By Luciano Pietronero, E. Tosatti, Valentino Tosatti, Alessandro Vespignani. 2001

253 citations recorded by the source corpus.

Subfields: Algebra and Number Theory, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/228cd0c9260f2724640fde47cd1aa3382836cf29

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Algebra and Number Theory

1. Marco Corazza
2. Claudio E. A. Pizzi

In Statistics and Probability

1. Marco Corazza
2. Claudio E. A. Pizzi

Citations in the corpus

• Mathematical and Statistical Methods for Actuarial Sciences and Finance (2014, methodology): “We examine the number of cointegrating vectors by using the Johansen method (see [10] and [11]).”
• Colloquium: Criticality and dynamical scaling in living systems (2017, unknown): “…et al., 2016; Schwab et al., 2014); 2011; Marsili and Zhang, 1998; Mora and Bialek, 2011; Sornette, 2006; Visser, 2013), Bendford’s law (Benford, 1938; Pietronero et al., 2001), and Taylor’s law (Cohen et al., 2012; Giometto et al., 2015; Taylor, 1961)– stem from underlying power-law distributions.”