En este documento se presenta la metodología para realizar un análisis de una serie de tiempo usando la herramienta R, teniendo en cuenta los pasos a realizar y algunos conceptos limitados a dos modelos; ARIMA y SARIMA.

Using different nonlinear regression models to predict the chemical manufacturing process and also identify the top predictors

Raw Counts data in function, rather than dividing by number of respondents who chose that particular age group/ household number etcetera.

Does not include Fisher's Test

The best-performing models can be identified by comparing the RMSE (Root Mean Square Error) and R-squared values from the res dataframe. Lower RMSE values and higher R-squared values indicate better model performance.