Time Series Analysis Univariate and Multivariate Methods by Wei, William W. S. pdf - Time Series Analysis Univariate and Multivariate Methods by Wei, William W. S. link
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Time Series Analysis Univariate and Multivariate Methods by Wei, William W. S. is a comprehensive textbook that covers both univariate and multivariate time series analysis techniques. The book begins with an introduction to time series data and its characteristics, followed by discussions on various univariate time series models, such as autoregressive (AR), moving average (MA), and autoregressive integrated moving average (ARIMA) models. The author also explores more advanced topics, including seasonal time series, spectral analysis, and state-space models. In addition to univariate methods, the book delves into multivariate time series analysis, covering topics such as vector autoregressive (VAR) models, cointegration, and error correction models. The book provides a balanced mix of theoretical explanations and practical examples, making it suitable for both students and practitioners in the field of time series analysis. Overall, Time Series Analysis Univariate and Multivariate Methods by Wei is a valuable resource for anyone looking to deepen their understanding of time series data and learn how to effectively model and analyze it using a variety of techniques.
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Time Series Analysis Univariate and Multivariate Methods by Wei, William W. S. pdf - Time Series Analysis Univariate and Multivariate Methods by Wei, William W. S. link actualizó su perfil hace 13 días
