Tamaño óptimo de la serie de tiempo en el pronóstico del PIB en México: Pronóstico de series de tiempo mediante modelo ARIMA (Spanish Edition)
by Jerónimo Jiménez Juan, Juan Ruiz Ramírez, Gabriela E. Hdz Rodríguez
Explore the optimal time series length for GDP forecasting in Mexico using ARIMA models. This book by Jerónimo Jiménez Juan, Juan Ruiz Ramírez, and Gabriela E. Hdz Rodríguez delves into effective prediction methods for economic time series, providing valuable insights for accurate forecasting in economic analysis.
About This Book
This academic work investigates the ideal size of time series data for accurate GDP forecasting in Mexico. It focuses on applying ARIMA models to predict economic trends based on historical data.
The authors analyze how the length of time series impacts the reliability of forecasts in the context of Mexico's economy. Through methodological approaches, the book demonstrates practical applications of ARIMA in time series forecasting.
Designed for researchers and economists, it offers a structured examination of forecasting techniques. The study contributes to understanding optimal data parameters for improved economic predictions.
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