Practical time series analysis using SAS

Anders Milhoj's Practical Time Series Analysis Using SAS explains and demonstrates through examples how you can use SAS for time series analysis. It offers modern procedures for forecasting, seasonal adjustments, and decomposition of time series that can be used without involved statistical rea...

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Detalles Bibliográficos
Autor Corporativo: SAS Institute (-)
Otros Autores: Milhøj, Anders Author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cary, N.C. : SAS Institute 2013
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628837006719
Tabla de Contenidos:
  • Time series data
  • Datetime variables in SAS
  • Aggregation using PROC TIMESERIES
  • Interpolation using PROC EXPAND
  • Exponential smoothing of nonseasonal series
  • Forecasting by exponential smoothing of seasonal series
  • Exponential smoothing versus parameterized models
  • Basic adjustments using the Census X11 method
  • Additional facilities in PROC X12
  • Models with unobserved components
  • Analysis of Danish Fertility using PROC UCM
  • Analysis of US E-Commerce using PROC UCM
  • An analysis of the Arctic Ice Coverage Series using unobserved components.