Applied Data Mining for Forecasting Using SAS - Chip Wells,Tim Rey,Arthur Kordon
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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 ident ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Chip Wells, Tim Rey, Arthur Kordon |
|---|---|
| Izdevējs | SAS Institute |
| Izlaides gads | 2012 |
| Vāka tips | Mīkstais vāks |
| EAN | 9781607646624 |