On Lee's Markovian Entropy-Maximization Model for Population Distribution

J N Kapur
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J N Kapur: Department of Mathematics, Indian Institute of Technology, Kanpur, 208016, India

Environment and Planning A, 1983, vol. 15, issue 11, 1449-1455

Abstract: The conclusions drawn by Lee for his first case, in a paper describing a Markovian entropy-maximizing model of population distribution, are found to be incorrect. It is, however, shown that his model for this case always leads to a global maximum value of entropy, a result which cannot be guaranteed for his third case. This result is then generalized to a more universal measure of entropy. Markovian measures of directed divergence are defined and used to get minimum discrimination distributions.

Date: 1983
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:15:y:1983:i:11:p:1449-1455

DOI: 10.1068/a151449

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