
handle: 10495/5587
RESUMEN: El análisis de series de tiempo es una técnica que involucra el estudio de individuos o grupos observados en momentos sucesivos en el tiempo. Este tipo de análisis permite estudiar la relación potencialmente causal entre diferentes variables que cambian en el tiempo y que se relacionan entre sí. Es la técnica más importante para hacer inferencias acerca del futuro, predicción, con base en lo que ha ocurrido en el pasado y se aplica en diferentes disciplinas del conocimiento. Se exponen los diferentes componentes, la técnica de análisis y algunos ejemplos específicos en el área de la salud.
ABSTRACT: Analysis of time series is a technique that implicates the study of individuals or groups observed in successive moments in time. This type of analysis allows the study of potential causal relationships between different variables that change over time and relate to each other. It is the most important technique to make inferences about the future, predicting, on the basis or what has happened in the past and it is applied in different disciplines of knowledge. Here we discuss different components of time series, the analysis technique and specific examples in health research.
Autoregressive integrated moving average, Time series, Tendência, Clinical Clerkship, Prácticas clínicas, Time Series Studies, Estudios de Series Temporales, Series de tiempo, Autorregressivo Integrado de Médias Móveis, Tendencia, Nivel, Nível, Level, Trend, Autorregresivo integrado de medias móviles, Séries de Tempo
Autoregressive integrated moving average, Time series, Tendência, Clinical Clerkship, Prácticas clínicas, Time Series Studies, Estudios de Series Temporales, Series de tiempo, Autorregressivo Integrado de Médias Móveis, Tendencia, Nivel, Nível, Level, Trend, Autorregresivo integrado de medias móviles, Séries de Tempo
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