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Что (кто) такое UEFA coefficient - определение
UEFA coefficient
RANKING SYSTEM USED BY UEFA TO ALLOCATE SLOTS TO EUROPEAN FOOTBALL CLUBS IN UEFA CONTINENTAL CLUB CHAMPIONSHIPS.
UFEA Coefficients; UEFA Coefficients; Uefa coefficient; Uefa coefficients; UEFA ranking; UEFA Country Ranking; UEFA coefficients; UEFA rankings; UEFA club rankings; Uefa league coefficient; UEFA club coefficient; UEFA league coefficient; UEFA national team coefficient; UEFA country coefficient; UEFA national team ranking; UEFA association coefficient rankings
In European football, the UEFA coefficients are statistics based in weighted arithmetic means used for ranking and seeding teams in club and international competitions. Introduced in 1979 for men's football tournaments, and after applied in women's football and futsal, the coefficients are calculated by UEFA, who administer football within Europe, as well as Armenia, Israel and the Asian parts of some transcontinental countries.
Attenuation coefficient
MEASURE FOR THE EXPONENTIAL REDUCTION OF A QUANTITY ALONG A PATH DUE TO ABSORPTION AND SCATTERING
Absorption coefficient; Absorption Coefficient; Linear attenuation coefficient; Linear coefficient; Linear absorption coefficient; Narrow beam attenuation coefficient; Scattering coefficient
The linear attenuation coefficient, attenuation coefficient, or narrow-beam attenuation coefficient characterizes how easily a volume of material can be penetrated by a beam of light, sound, particles, or other energy or matter. A coefficient value that is large represents a beam becoming 'attenuated' as it passes through a given medium, while a small value represents that the medium had little effect on loss.
Pearson correlation coefficient
![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''.")
TYPE OF COEFFICIENT
Pearson r; Pearsonr; Pearson's correlation coefficient; Pearson's r; Pearson's correlation; Product-moment correlation coefficient; Pearson product moment correlation coefficient; Product moment correlation coefficient; Pearson coefficient; Bivariate correlation; Pearson’s correlation coefficient; Pearson's product; Pearson product-moment correlation; Pearson product-moment; Product-moment correlation; Pearson Product Moment Correlation Coefficient; Pearson's coefficient of correlation; Pearson product–moment correlation coefficient; PPMCC; Pearson product-moment correlation coefficient; Pearson correlation; Pearson’s Correlation Coefficient; Pearson's linear correlation coefficient; Circular correlation coefficient; Pearson's product-moment correlation
In statistics, the Pearson correlation coefficient (PCC, pronounced ) ― also known as Pearson's r, the Pearson product-moment correlation coefficient (PPMCC), the bivariate correlation, or colloquially simply as the correlation coefficient ― is a measure of linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such that the result always has a value between −1 and 1.
