{"product_id":"applied-data-mining-for-forecasting-using-sas-paperback","title":"Applied Data Mining for Forecasting Using SAS - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eTim Rey\u003c\/b\u003e (Author), \u003cb\u003eArthur Kordon\u003c\/b\u003e (Author), \u003cb\u003eChip Wells\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eApplied 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 336\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 11 x 8.25 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 06, 2012\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43153954406463,"sku":"9781607646624","price":112.25,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/wWz8ZgZQ5W9781607646624.webp?v=1776952396","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/applied-data-mining-for-forecasting-using-sas-paperback","provider":"BBB","version":"1.0","type":"link"}