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Focusing on both stationary and nonstationary time series models, this book provides a comprehensive guide for readers to develop their own modeling techniques. It emphasizes practical applications using R, equipping readers with the necessary tools to analyze and predict time series data effectively. The second edition enhances understanding of these concepts, enabling mastery of time series analysis.
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Introduction to Time Series Modeling with Applications in R, Genshiro Kitagawa
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- 2022
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