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This chapter utilizes ARIMA (auto-regressive, integrated, moving-average) models to capture the behavior of the data and to forecast future values by combining trend, seasonal effects, and random fluctuations.

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ARIMA Models

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  • 发表日期：

    2026年

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  • Fernando DePaolis

摘要

This chapter utilizes ARIMA (auto-regressive, integrated, moving-average) models to capture the behavior of the data and to forecast future values by combining trend, seasonal effects, and random fluctuations.