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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| 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) |
MARC
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| 001 | OR_on1029878788 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
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| 020 | |a 9781629605449 | ||
| 020 | |a 1629605441 | ||
| 020 | |a 1629598445 | ||
| 020 | |a 9781629598444 | ||
| 020 | |z 9781629598444 | ||
| 035 | |a (OCoLC)1029878788 | ||
| 037 | |a CL0500000951 |b Safari Books Online | ||
| 050 | 4 | |a QA280 | |
| 082 | 0 | 4 | |a 519.520285 |q OCoLC |2 21/eng/20230216 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Brocklebank, John, |e author. | |
| 245 | 1 | 0 | |a SAS for forecasting time series / |c John C. Brocklebank, David A. Dickey, Bong S. Choi. |
| 246 | 3 | |a Statistical analysis system for forecasting time series | |
| 250 | |a Third edition. | ||
| 264 | 1 | |a Cary, NC : |b SAS Institute, |c [2018] | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 588 | 0 | |a Online resource; title from cover (Safari, viewed March 29, 2018). | |
| 504 | |a Includes bibliographical references. | ||
| 520 | |a "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 | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a SAS (Computer file) |
| 630 | 0 | 7 | |a SAS (Computer file) |2 fast |0 (OCoLC)fst01364029 |
| 650 | 0 | |a Time-series analysis |x Data processing. | |
| 650 | 6 | |a Série chronologique |x Informatique. | |
| 650 | 7 | |a Time-series analysis |x Data processing. |2 fast |0 (OCoLC)fst01151192 | |
| 700 | 1 | |a Dickey, David A., |e author. | |
| 700 | 1 | |a Choi, Bong S., |e author. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781629605449/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||