عنوان

Practical time series analysis using SAS /

شابک

1612901700 (electronic bk.)

شابک

1612906249 (electronic book)

شابک

9781612901701 (electronic bk.)

شابک

9781612906249 (electronic book)

شابک اشتباه

9781612901701

شماره

dltt

عنوان اصلي

Practical time series analysis using SAS /

نام عام مواد

[Book]

نام نخستين پديدآور

Anders Milhøj

نام خاص و کميت اثر

1 online resource

وجه تسميه و کميت فايل

Computer document

متن يادداشت

Includes bibliographical references and index

متن يادداشت

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

بدون عنوان

0

متن يادداشت

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

عنوان

Practical time series analysis using SAS.

شماره استاندارد بين المللي کتاب و موسيقي

9781612901701

عنوان

Safari books online

موضوع مستند نشده

SAS (Computer program language)

موضوع مستند نشده

Time-series analysis-- Computer programs.

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Milhøj, Anders.

مستند نام تنالگان تاييد نشده

SAS Institute,publisher

تاريخ عمليات

20130903015829.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y