Abstract This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA (1, 1, ...

Statistical machine learning models for prediction of China’s maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model ...

In recent years, deep learning has rapidly developed and been widely applied across different fields. While statistical models are known for their powerful interpretability and unique processing ...

A demand forecasting model for an E-Commerce retailer, built using KPIs from Google Analytics & implemented in RStudio. Models: time-series, ARIMA, Regression (multivariate & dynamic). Open-source & ...

The predicted value decreases with increase in lead time. Comparing the measured data with the predicted data from the model shows that the combined ARIMA–SVR model had higher prediction accuracy than ...

The objective of this research paper is to compute the Autoregressive Integrated Moving Average model ARIMA(p,d,q) to forecast the dynamic of the Moroccan inflation rate. To this end, we have used the ...

Python Data Analyst Toolbox . Contribute to YiSiouFeng/Python development by creating an account on GitHub.