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 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.
1112416774
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 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.
57.99 In Stock
Applied Data Mining for Forecasting Using SAS

Applied Data Mining for Forecasting Using SAS

Applied Data Mining for Forecasting Using SAS

Applied Data Mining for Forecasting Using SAS

eBook

$57.99 

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Overview

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.

Product Details

ISBN-13: 9781629597997
Publisher: SAS Institute
Publication date: 07/31/2012
Sold by: Barnes & Noble
Format: eBook
Pages: 336
File size: 16 MB
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