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SAS for forecasting time series /

"To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users-such as statisticians, econ...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Brocklebank, John (Autor), Dickey, David A. (Autor), Choi, Bong S. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, [2018]
Edición:Third edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users-such as statisticians, economists, and data scientists-can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of the newer methods are variations on the basic ARIMA structures"--Publisher's summary
Descripción Física:1 online resource (1 volume) : illustrations
Bibliografía:Includes bibliographical references.
ISBN:9781629605449
1629605441
1629598445
9781629598444