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Gini coefficient - translation to English
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![prediction interval]] for ''Y'' may be reduced given the corresponding value of ''X''. For example, if ''ρ'' = 0.5, then the 95% prediction interval of ''Y''|''X'' will be about 13% smaller than the 95% prediction interval of ''Y''.](https://commons.wikimedia.org/wiki/Special:FilePath/Pearson correlation and prediction intervals.svg?width=200 "prediction interval]] for ''Y'' may be reduced given the corresponding value of ''X''. For example, if ''ρ'' = 0.5, then the 95% prediction interval of ''Y''|''X'' will be about 13% smaller than the 95% prediction interval of ''Y''.")
Ex: The Pearson correlation coefficient has been calculated to find out the correlation and to test the null hypothesis that there is no correlation among publishing in journals, citing from journals and use of journals by a defined set of researchers.
Ex: The coefficients of eigenvectors associated with the largest eigenvalue provide the basis for sequencing atoms which are ordered according to the relative magnitudes of the coefficients.
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* coefficient of precision = coeficiente de precisión
* coefficient of recall = coeficiente de exhaustividad
* correlation coefficient = coeficiente de correlación
* cosine correlation coefficient = coeficiente de la correlación de los cosenos
* Pearson correlation coefficient = coeficiente de correlación de Pearson
Definition
Wikipedia
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In economics, the Gini coefficient ( JEE-nee), also known as the Gini index or Gini ratio, is a measure of statistical dispersion intended to represent the income inequality or the wealth inequality or the consumption inequality within a nation or a social group. It was developed by statistician and sociologist Corrado Gini.
The Gini coefficient measures the inequality among values of a frequency distribution, such as levels of income. A Gini coefficient of 0 reflects perfect equality, where all income or wealth values are the same, while a Gini coefficient of 1 (or 100%) reflects maximal inequality among values. For example, if everyone has the same income, the Gini coefficient will be 0. In contrast, a Gini coefficient of 1 indicates that within a group of people, a single individual has all the income or consumption, while all others have none.
The Gini coefficient was proposed by Corrado Gini as a measure of inequality of income or wealth. For OECD countries, in the late 20th century, considering the effect of taxes and transfer payments, the income Gini coefficient ranged between 0.24 and 0.49, with Slovenia being the lowest and Mexico the highest. African countries had the highest pre-tax Gini coefficients in 2008–2009, with South Africa having the world's highest, estimated to be 0.63 to 0.7, although this figure drops to 0.52 after social assistance is taken into account, and drops again to 0.47 after taxation. The global income Gini coefficient in 2005 has been estimated to be between 0.61 and 0.68 by various sources.
There are some issues in interpreting a Gini coefficient as the same value may result from many different distribution curves. To mitigate this, the demographic structure should be taken into account. Countries with an aging population or with an increased birth rate experience an increasing pre-tax Gini coefficient even if real income distribution for working adults remains constant. Scholars have devised over a dozen variants of the Gini coefficient.
