عنوان

Practical time series analysis using SAS /

(Number (ISBN

1612901700 (electronic bk.)

(Number (ISBN

1612906249 (electronic book)

(Number (ISBN

9781612901701 (electronic bk.)

(Number (ISBN

9781612906249 (electronic book)

Erroneous ISBN

9781612901701

Number

dltt

Title Proper

Practical time series analysis using SAS /

General Material Designation

[Book]

First Statement of Responsibility

Anders Milhøj

Specific Material Designation and Extent of Item

1 online resource

Designation and extent of file

Computer document

Text of Note

Includes bibliographical references and index

Text of Note

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

0

Text of Note

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 reasoning. The book teaches, with numerous examples, how to apply these procedures with very simple coding. In addition, it also gives the statistical background for interested readers. Beginning with an introductory chapter that covers the practical handling of time series data in SAS using the TIMESERIES and EXPAND procedures, it goes on to explain forecasting, which is found in the ESM procedure; seasonal adjustment, including trading-day correction using PROC X12; and unobserved component models using PROC UCM

Title

Practical time series analysis using SAS.

International Standard Book Number

9781612901701

Title

Safari books online

SAS (Computer program language)

Time-series analysis-- Computer programs.

Class number

Book number

Milhøj, Anders.

SAS Institute,publisher

Date of Transaction

20130903015829.0

Cataloguing Rules (Descriptive Conventions))

rda

Electronic name

[Book]

Y