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Forecasting with Mathematical Models in Python: ARIMA and Growth Rate Models

Year: 2025

Type: article

Abstract: This brief manuscript describes the forecasting models which are ARIMA model consists of three components: the AutoRegressive (AR) component, the Integrated (I) component, and the Moving Average (MA) component and a Growth Rate model used in various time series data forecasting. Here a simple example is taken to describe the comparative analysis of both models in Python code.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15099607

Author: Harendra, Kumar

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6949275383

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