Applied Data Mining for Forecasting Using SAS /
Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
SAS Institute,
2012.
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| Edition: | 1st edition. |
| Subjects: | |
| Online Access: | Connect to this electronic resource |
| Summary: | Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (336 pages) |
| Format: | Mode of access: World Wide Web. |