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

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  • J N Kapur

    (Department of Mathematics, Indian Institute of Technology, Kanpur, 208016, India)

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.

Suggested Citation

  • J N Kapur, 1983. "On Lee's Markovian Entropy-Maximization Model for Population Distribution," Environment and Planning A, , vol. 15(11), pages 1449-1455, November.
    • Handle: RePEc:sae:envira:v:15:y:1983:i:11:p:1449-1455
    DOI: 10.1068/a151449
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