Variabilita e Mutabilita.

By C. Gini. 1913

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Citations in the corpus

A Closer Look at Memorization in Deep Networks (2017, background): “The Gini coefﬁcient (Gini, 1913) is a measure of the inequality among values of a frequency distribution; a coefﬁcient of 0 means exact equality (i.e., all values are the same), while a coefﬁcient of 1 means maximal inequality among values.”
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices (2018, methodology): “Traditionally, inequality indices such as Coefficient of Variation [1], Gini [5, 16], Atkinson [3], Hoover [29], and Theil [37], have been proposed to quantify how unequally incomes are distributed across individuals and groups in a population.”
When optimizing nonlinear objectives is no harder than linear objectives (2018, background): “Finally, consider the Gini index of inequality (Gini, 1912),”
Rapid Reionization by the Oligarchs: The Case for Massive, UV-bright, Star-forming Galaxies with High Escape Fractions (2019, methodology): “Adopting a popular income inequality measure from Macroeconomics, the Gini coefficient (Gini 1912), we find the ṅion distributions for Model II at z =[6, 7, 8] have Gini coefficients of [0.”
A Generalized Index of Fractionalization (2011, unknown): “What is known in the economics literature as ELF is, in the statistical literature, the Gini-Simpson index, introduced first by Gini (1912) and then by Simpson (1949) as a measure of diversity of the multinomial distribution.”
Parametric Estimations of the World Distribution of Income (2009, unknown): “The Gini coefficient has been used since the 1910s (specifically Gini (1912)), but it has been more recently endorsed by Amartya Sen as a distribution-free inequality index that represents the views on inequality of a society with very general distributional preferences.”
A forest management planning tool to create highly diverse uneven-aged stands (2011, methodology): “The stand 6A is the closest to the reverse J-shaped diameter distribution from the 14 selected stands for the basic exploration of GiniAC model. The Gaussian model was also used to assess the volume distribution against diameters classes for irregular forests by Giurgiu (1979) and Leahu (1994).”
A Comparison of Parametric Models of Income Distribution Across Countries and Over Time (2002, background): “To better study the phenomena, he proposed a unit- free measure of income inequality known as the Gini coefficient that is still commonly used today (Gini, 1912).”
Effects of diversity of tree species and size on forest basal area growth, recruitment, and mortality (2007, methodology): “The Simpson (1949) (or Gini–Simpson) index of ecological diversity had in fact been used earlier to measure economic inequality (Gini, 1912).”
Concentration and decentralization: The new geography of freight distribution in US metropolitan areas (2010, background): “Originally used for determining how evenly incomes are distributed across a country (Gini, 1912), it has since been used by transportation geographers to compare concentrations of maritime and air traffic over time and across space (e.g., Reynolds-Feighan, 1998; McCalla, 1999; Notteboom, 2006).”
Acoustic Indices for Biodiversity Assessment and Landscape Investigation (2014, unknown): “At the same time, the Gini index [49] was applied to a binned frequency spectrum above a specified amplitude threshold leading to the Acoustic Evenness Index (AEI) [46].”
Grain yield increase in cereal variety mixtures: A meta-analysis of field trials (2009, background): “where g(pi) is the Gini coefficient of inequality, equal to the average of the absolute values of the proportion differences between all pairs of component varieties (Gini, 1955).”