LEADER 02813nam 22005655 450 001 9910958625303321 005 20250813224830.0 010 $a1-4612-4432-3 024 7 $a10.1007/978-1-4612-4432-5 035 $a(CKB)3400000000090838 035 $a(SSID)ssj0001298480 035 $a(PQKBManifestationID)11766356 035 $a(PQKBTitleCode)TC0001298480 035 $a(PQKBWorkID)11261817 035 $a(PQKB)11076838 035 $a(DE-He213)978-1-4612-4432-5 035 $a(MiAaPQ)EBC3077148 035 $a(PPN)238056635 035 $a(EXLCZ)993400000000090838 100 $a20121227d1991 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSmoothing Techniques $eWith Implementation in S /$fby Wolfgang Härdle 205 $a1st ed. 1991. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d1991. 215 $a1 online resource (XII, 262 p.) 225 1 $aSpringer Series in Statistics,$x2197-568X 300 $a"With 87 Illustrations." 311 08$a0-387-97367-2 311 08$a1-4612-8768-5 320 $aIncludes bibliographical references and index. 327 $aI. Density Smoothing -- 1. The Histogram -- 2. Kernel Density Estimation -- 3. Further Density Estimators -- 4. Bandwidth Selection in Practice -- II. Regression Smoothing -- 5. Nonparametric Regression -- 6. Bandwidth Selection -- 7. Simultaneous Error Bars -- Tables -- Solutions -- List of Used S Commands -- Symbols and Notation -- References. 330 $aThe author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points. Additive models provide a way out of this dilemma; but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail. 410 0$aSpringer Series in Statistics,$x2197-568X 606 $aMathematics 606 $aApplications of Mathematics 615 0$aMathematics. 615 14$aApplications of Mathematics. 676 $a519 700 $aHärdle$b Wolfgang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0420941 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910958625303321 996 $aSmoothing techniques$9808737 997 $aUNINA