ARIMA model
[ə-ˈrē-mə ˈmä-dəl]
nounpl: ARIMA models
modelo ARIMA
1. A statistical method used for time series forecasting that combines autoregression (AR), differencing (I), and moving average (MA) components to predict future values based on past observations
The economist used an ARIMA model to forecast quarterly GDP growth rates.
O economista utilizou um modelo ARIMA para prever as taxas de crescimento do PIB trimestral.
2. A class of statistical models that assumes the underlying time series data is stationary or can be made stationary through differencing
ARIMA models are widely used in finance for stock price prediction.
Modelos ARIMA são amplamente utilizados em finanças para previsão de preços de ações.
ARIMA models are foundational in econometrics and data science education in Brazil and Portugal. The term is predominantly used in academic, financial, and technical sectors. It represents the bridge between classical statistical methods and modern machine learning approaches to time series prediction. In Brazil, particularly in universities and financial institutions, ARIMA analysis is a standard tool taught in statistics and engineering programs.
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