A note on “Pareto tails and lognormal body of US cities size distribution”

Hok Shing Kwong and Saralees Nadarajah

Physica A: Statistical Mechanics and its Applications, 2019, vol. 513, issue C, 55-62

Abstract: Luckstead and Devadoss (2017) fitted a distribution made up of lower tail Pareto, lognormal body, and upper tail Pareto to city sizes in the US. Here, we propose a class of distributions providing better fits. The fits are assessed in terms of Akaike Information Criterion, Bayesian Information Criterion and probability plots.

Keywords: Akaike information criterion; Bayesian information criterion; Finite mixture model; Gilbrat’s law; Zipf’s law (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:513:y:2019:i:c:p:55-62

DOI: 10.1016/j.physa.2018.08.073

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