{"product_id":"9781461287681","title":"Smoothing Techniques: With Implementation in S","description":"The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points. Additive models provide a way out of this dilemma; but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail.","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47043898212592,"sku":"9781461287681","price":149.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781461287681_p0.jpg?v=1763673416","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781461287681","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}