Noun
/lɪnɪər æɡrɪˈɡeɪʃən/
Meaning: Linear aggregation refers to a mathematical or statistical method of combining multiple inputs (data points) into a single output, where the relationship between inputs is assumed to be linear. This is often used in fields such as economics, data analysis, and machine learning.
How it's Used: Linear aggregation is frequently used in quantitative analysis, allowing simplification of complex relationships by modeling them as linear functions.
Frequency of Use: The term is more commonly found in academic texts, research papers, and technical discussions rather than in everyday oral speech. It is frequently encountered in fields requiring data analysis and modeling.
Linear aggregation is crucial for simplifying complex datasets in statistics.
(La agregación lineal es crucial para simplificar conjuntos de datos complejos en estadística.)
In economics, linear aggregation can help determine the combined effect of several market factors.
(En economía, la agregación lineal puede ayudar a determinar el efecto combinado de varios factores del mercado.)
Researchers often use linear aggregation to create models that predict future trends.
(Los investigadores a menudo utilizan la agregación lineal para crear modelos que predicen tendencias futuras.)
While "linear aggregation" itself does not have widely recognized idiomatic expressions, it is frequently discussed within the context of other relevant topics in data analysis and statistics. Here are idiomatic phrases typically used with the term 'aggregate' or 'aggregation'.
"Aggregate data" can provide a clearer picture of overall trends."
(Los "datos agregados" pueden ofrecer una imagen más clara de las tendencias generales.)
"The aggregate effect of all teams working together can lead to significant performance improvements."
(El "efecto agregado" de todos los equipos trabajando juntos puede llevar a mejoras significativas en el rendimiento.)
"Some models fail to account for the aggregate impact of unforeseen variables."
(Algunos modelos no logran tener en cuenta el "impacto agregado" de variables imprevistas.)
"An aggregate analysis showed that the majority of respondents favored the new policy."
(Un análisis "agregado" mostró que la mayoría de los encuestados favorecía la nueva política.)
"We need to focus on the aggregate trends rather than individual outliers."
(Necesitamos centrarnos en las tendencias "agregadas" en lugar de en los valores atípicos individuales.)
The term "linear" comes from the Latin word “linearis,” meaning “belonging to a line,” while "aggregation" derives from the Latin “aggregare,” which means “to add to,” from "ad-" (to) and "gregare" (to gather).
Synonyms: - Simple addition - Summation - Linear combination
Antonyms: - Non-linear aggregation - Individual analysis - Disaggregation
This comprehensive information provides a detailed understanding of "linear aggregation" and its relevance in various contexts.