rÁnking - перевод на Английский
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rÁnking - перевод на Английский

PROCESS OF ORDERING ITEMS IN A SET BY CRITERIA
Rank order; Ranking system; World ranking; Rankings; Ranked; World Ranking; World rankings; World Rankings; Rank statistics; Second place; Ranking (statistics)

ranking         
(n.) = categoría, clasificación, posición, ranking, orden, jerarquía, jerarquización
Ex: Those documents with sufficiently high rankings will be deemed relevant and eventually retrieved.
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* high-ranking = de alto rango
* output ranking = ordenación jerárquica del resultado de la búsqueda
* ranking algorithm = algoritmo de ordenación por pertinencia
* ranking order = jerarquía
* relevance ranking = ordenación por pertinencia, clasificación por pertinencia, coeficiente de pertinencia, índice de pertinencia
* seniority ranking = clasificación por antigüedad
ranked         
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* in ranked order = en orden jerárquico
* ranked output = resultado ordenado jerárquicamente
* top-ranked = situado en primer lugar, más votado, más prestigioso, preferido
rank order         
(n.) = clasificación
Ex: This is an interesting reversal of the rank order of countries for both stock held and expenditure per head of population.

Определение

ranking
sust. masc.
Voz inglesa. Clasificación o rango.

Википедия

Ranking

A ranking is a relationship between a set of items such that, for any two items, the first is either "ranked higher than", "ranked lower than" or "ranked equal to" the second. In mathematics, this is known as a weak order or total preorder of objects. It is not necessarily a total order of objects because two different objects can have the same ranking. The rankings themselves are totally ordered. For example, materials are totally preordered by hardness, while degrees of hardness are totally ordered. If two items are the same in rank it is considered a tie.

By reducing detailed measures to a sequence of ordinal numbers, rankings make it possible to evaluate complex information according to certain criteria. Thus, for example, an Internet search engine may rank the pages it finds according to an estimation of their relevance, making it possible for the user quickly to select the pages they are likely to want to see.

Analysis of data obtained by ranking commonly requires non-parametric statistics.