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    <identifier>10.57760/sciencedb.16276</identifier>
    <datestamp>2024-02-23T10:02:49Z</datestamp>
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  <dc:date>2024-02-23</dc:date>
  <dc:title>Tunable combined polynomial model and Lorentz curve approximation (paper table data)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.16276</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Table 1, Table 5 and Table 8 of this paper show that the tunable combined polynomial model L(p) constructed in this paper fits the grouped data, and the calculated fitting values and mean square error MSE are compared with the mean square error MSE of other comparison models.</dc:description>
  <dc:subject>tunable; polynomial; Lorentz; TCP model Lorentz curve fitting value mean square error Gini coefficient comparison</dc:subject>
  <dc:creator>Tan Shibin</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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