Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Gini Coefficient× | Theil Segregation Index× | |
|---|---|---|
| Галузь | Sociology | Sociology |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1912 | 1971 |
| Автор методу≠ | Corrado Gini | Henri Theil & Anthony Finizza |
| Тип≠ | Scalar measure of statistical dispersion / inequality | Entropy-based multigroup segregation index |
| Основоположне джерело≠ | Ceriani, L., & Verme, P. (2012). The origins of the Gini index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini. The Journal of Economic Inequality, 10(3), 421–443. DOI ↗ | Theil, H., & Finizza, A. J. (1971). A note on the measurement of racial integration of schools by means of informational concepts. Journal of Mathematical Sociology, 1(2), 187–193. DOI ↗ |
| Інші назви | Gini index, Gini ratio, Gini concentration ratio, G | Theil's H, information theory index, entropy segregation index, multigroup entropy index |
| Пов'язані | 5 | 5 |
| Підсумок≠ | The Gini coefficient is the most widely used single-number summary of inequality in a distribution such as income or wealth. Introduced by the Italian statistician Corrado Gini in 1912, it equals twice the area between the Lorenz curve and the line of perfect equality, ranging from 0 when everyone has the same amount to a maximum approaching 1 when one unit holds everything. | Theil's information index, denoted H, is an entropy-based measure of segregation that, unlike the two-group dissimilarity index, handles any number of groups at once. It compares the diversity (entropy) found within each unit to the diversity of the whole population: segregation is high when units are internally homogeneous even though the overall population is diverse. Its defining virtue is exact decomposability across nested levels and across groups. |
| ScholarGateНабір даних ↗ |
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