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Zipf's law and city size distribution: A survey of the literature and future research agenda
S Arshad, S Hu, BN Ashraf - Physica A: Statistical mechanics and its …, 2018 - Elsevier
This study provides a systematic review of the existing literature on Zipf's law for city size
distribution. Existing empirical evidence suggests that Zipf's law is not always observable …
distribution. Existing empirical evidence suggests that Zipf's law is not always observable …
Unidirectional random growth with resetting
We review stochastic processes without detailed balance condition and derive their H-
theorem. We obtain stationary distributions and investigate their stability in terms of …
theorem. We obtain stationary distributions and investigate their stability in terms of …
[HTML][HTML] A long-term, regional-level analysis of Zipf's and Gibrat's laws in the United States
R González-Val, DP **ménez-de-Embún… - Cities, 2024 - Elsevier
We test the validity of Zipf's and Gibrat's laws for city size distributions at the regional level
from 1900 to 2010 by considering US states. Zipf's law is satisfied for a majority of states, but …
from 1900 to 2010 by considering US states. Zipf's law is satisfied for a majority of states, but …
Zipf's law, the coherence of the urban system and city size distribution: Evidence from Pakistan
S Arshad, S Hu, BN Ashraf - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
This paper examines the Zipf's law for the size distribution of Pakistani cities using the five
census data from 1951 to 1998. We observe that Zipf's law does not hold in any of the five …
census data from 1951 to 1998. We observe that Zipf's law does not hold in any of the five …
[HTML][HTML] The size distributions of all Indian cities
We apply five distributions–lognormal, double-Pareto lognormal, lognormal-upper tail
Pareto, Pareto tails-lognormal, and Pareto tails-lognormal with differentiability restrictions–to …
Pareto, Pareto tails-lognormal, and Pareto tails-lognormal with differentiability restrictions–to …
Three-part composite Pareto modelling for income distribution in Malaysia
MHA Majid, K Ibrahim, N Masseran - Mathematics, 2023 - mdpi.com
Income distribution models can be useful for describing the economic properties of a
population. In this study, three-part composite Pareto models are fitted to the income …
population. In this study, three-part composite Pareto models are fitted to the income …
Log-growth rates of CO2: An empirical analysis
We study the parametric distribution of log-growth rates of CO 2 and CO 2 per capita
emissions for 207 countries and territories taking data from 1994 to 2010. We define the log …
emissions for 207 countries and territories taking data from 1994 to 2010. We define the log …
[HTML][HTML] Global-scale statistical modelling of the radiative power released by vegetation fires using a doubly truncated lognormal body distribution with generalized …
CC DaCamara, R Libonati, SA Nunes… - Physica A: Statistical …, 2023 - Elsevier
We present a statistical model with 8 parameters that combines three components, namely a
truncated lognormal distribution central body with a lower and an upper tail, both consisting …
truncated lognormal distribution central body with a lower and an upper tail, both consisting …
The types of city size distributions and their evolution
Y Wang, B Sun - Cities, 2024 - Elsevier
The widely recognized rank-size law is being questioned as the single best rule for city size
distribution by an increasing number of studies. However, these studies suffer from …
distribution by an increasing number of studies. However, these studies suffer from …
Optimal threshold for Pareto tail modelling in the presence of outliers
MAM Safari, N Masseran, K Ibrahim - Physica A: Statistical Mechanics and …, 2018 - Elsevier
The Pareto distribution is widely applied in many areas of studies such as economics and
sciences. An important issues related to Pareto tail modelling is to determine the optimal …
sciences. An important issues related to Pareto tail modelling is to determine the optimal …