Work

Novel BetaSutte for forecasting: Indonesian export prediction compared to random forest, XGBoost, and ETS

Year: 2026

Type: article

Source: Journal of Modelling in Management

DOI: 10.1108/jm2-06-2025-0314

Authors: Ansari Saleh Ahmar, Agung Triutomo, Abdul Rahman

Institution: State University of Makassar

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7129252293

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Cites: 66

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