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[书籍介绍] SAS for Forecasting Time Series 3rd [推广有奖]

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igs816 在职认证  发表于 2018-8-8 22:48:39 |显示全部楼层
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by John C. Brocklebank and David A. Dickey
English | 2018 | ISBN: 1629598445 | 384 Pages | PDF
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.

Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods:

- ARIMA models
- Vector autoregressive models
- Exponential smoothing models
- Unobserved component and state-space models
- Seasonal adjustment
- Spectral analysis

Focusing on application, this guide teaches a wide range of forecasting techniques by example. The examples provide the statistical underpinnings necessary to put the methods into practice. The following up-to-date SAS applications are covered in this edition:

- The ARIMA procedure
- The AUTOREG procedure
- The VARMAX procedure
- The ESM procedure
- The UCM and SSM procedures
- The X13 procedure
- The SPECTRA procedure
- SAS Forecast Studio

Each SAS application is presented with explanation of its strengths, weaknesses, and best uses. Even users of automated forecasting systems will benefit from this knowledge of what is done and why. Moreover, the accompanying examples can serve as templates that you easily adjust to fit your specific forecasting needs.

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So橘子 发表于 2018-8-9 09:53:13 |显示全部楼层
感谢分享
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l1i2n3i4n5g 在职认证  发表于 2018-8-9 10:14:07 |显示全部楼层
谢谢分享!
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vanvae 发表于 2018-8-9 10:42:28 |显示全部楼层
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w-long 发表于 2018-8-9 11:03:23 来自手机 |显示全部楼层
SAS for Forecasting Time Series
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w-long 发表于 2018-8-9 11:03:28 来自手机 |显示全部楼层
SAS for Forecasting Time Series
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w-long 发表于 2018-8-9 11:03:35 来自手机 |显示全部楼层
SAS for Forecasting Time Series
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yuan_wang 发表于 2018-8-9 13:07:38 |显示全部楼层
谢谢楼主分享,
SAS在 Data Mining中的应用,很难得的资料
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suzhzh 发表于 2018-8-9 13:25:15 |显示全部楼层
Many thanks for sharing
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lhf8059 发表于 2018-8-9 13:38:14 |显示全部楼层
看看看
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