LEADER 02090nam0 2200421 i 450 
001 SUN0113880
005 20180126103230.471
010   $d0.00
017 70$2N$a978-3-319-25388-6
100   $a20180122d2015       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Lectures on the nearest neighbor method$fGérard Biau, Luc Devroye
205   $a[Cham] : Springer, 2015
210   $aIX$d290 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0113882$12001 $a*Springer series in the Data Sciences$1210  $aBerlin$cSpringer.
606   $a60Cxx$xCombinatorial probability [MSC 2020]$2MF$3SUNC020094
606   $a60Dxx$xGeometric probability and stochastic geometry [MSC 2020]$2MF$3SUNC020491
606   $a68T10$xPattern recognition, speech recognition [MSC 2020]$2MF$3SUNC020788
606   $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$2MF$3SUNC023390
606   $a62G07$xDensity estimation [MSC 2020]$2MF$3SUNC024543
606   $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$2MF$3SUNC028931
606   $a62G05$xNonparametric estimation [MSC 2020]$2MF$3SUNC029306
606   $a62G08$xNonparametric regression and quantile regression [MSC 2020]$2MF$3SUNC029587
606   $a62G30$xOrder statistics; empirical distribution functions [MSC 2020]$2MF$3SUNC033555
606   $a62G20$xAsymptotic properties of nonparametric inference [MSC 2020]$2MF$3SUNC033713
620   $aCH$dCham$3SUNL001889
700  1$aBiau$b, Gérard$3SUNV087970$0755683
701  1$aDevroye$b, Luc$3SUNV050373$060985
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-319-25388-6
912   $aSUN0113880
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0277        $e08eMF277               20180122            
996   $aLectures on the nearest neighbor method$91522827
997   $aUNICAMPANIA