Applied Data Mining for Forecasting Using SAS
Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software
| Author: | Tim Rey, Arthur Kordon, Chip Wells | ISBN: | 9781629597997 |
| Publisher: | SAS Institute | Publication: | July 31, 2012 |
| Imprint: | SAS Institute | Language: | English |
| Author: | Tim Rey, Arthur Kordon, Chip Wells |
| ISBN: | 9781629597997 |
| Publisher: | SAS Institute |
| Publication: | July 31, 2012 |
| Imprint: | SAS Institute |
| Language: | English |
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.
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.
