Comum · História
Box–Jenkins method
Method to find best fit of a time-series model
In time series analysis, the Box–Jenkins method, named after the statisticians George Box and Gwilym Jenkins, applies autoregressive moving average (ARMA) or autoregressive integrated moving average (ARIMA) models to find the best fit of a time-series model to past values of a time series.
Na Wikipédia
Texto em inglês Ainda não há artigo no seu idioma: trecho em inglês.
In time series analysis, the Box–Jenkins method, named after the statisticians George Box and Gwilym Jenkins, applies autoregressive moving average (ARMA) or autoregressive integrated moving average (ARIMA) models to find the best fit of a time-series model to past values of a time series.
Texto: Wikipédia em inglês, CC BY-SA 4.0. ·