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City size distributions for India and China

✍ Scribed by Kausik Gangopadhyay; B. Basu


Book ID
103884234
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
720 KB
Volume
388
Category
Article
ISSN
0378-4371

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✦ Synopsis


This paper studies the size distributions of urban agglomerations for India and China. We have estimated the scaling exponent for Zipf's law with the Indian census data for the years of 1981-2001 and the Chinese census data for 1990 and 2000. Along with the biased linear fit estimate, the maximum likelihood estimate for the Pareto and Tsallis qexponential distribution has been computed. For India, the scaling exponent is in the range of [1.88, 2.06] and for China, it is in the interval [1.82, 2.29]. The goodness-of-fit tests of the estimated distributions are performed using the Kolmogorov-Smirnov statistic.


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