LEADER 01161nam0-2200325---450- 001 990009174590403321 005 20100419124559.0 010 $a88-324-3975-1 035 $a000917459 035 $aFED01000917459 035 $a(Aleph)000917459FED01 035 $a000917459 100 $a20100419d1995----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $a<>catasto dei rifiuti e delle materie prime seconde$etenuta del registro e guida alla dichiarazione annuale dei rifiuti e alla comunicazione concernente i residui$eguida agli obblighi per produttori, trasportatori e smaltitori dei rifiuti nonche per consulenti e appartenenti agli enti preposti al controllo 205 $a4. ed. aggiornata con il D.L. n. 3/1995 210 $aMilano$cPirola$d1995 215 $aX, 351 p.$cill.$d24 cm 610 0 $aRifiuti 676 $a344.450462 700 1$aBogani,$bGianluigi$0337833 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009174590403321 952 $aIG 15 H 25$fDMIGI 959 $aDMIGI 996 $aCatasto dei rifiuti e delle materie prime seconde$9780839 997 $aUNINA LEADER 01866cam0-2200577---450- 001 990000066560203316 005 20091217164303.0 010 $a88-14-07330-9 035 $a0006656 035 $aUSA010006656 035 $a(ALEPH)000006656USA01 035 $a0006656 100 $a20000914d1999----km|y0itay0103----ba 101 1 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aSoltanto parole$fCatharine A.MacKinnon$gtraduzione di Costanza Honorati$gpresentazione di Adriana Cavarero 210 $aMilano$cA. 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HMM)$d00001283 959 $aBK 969 $aGIU 979 $c20000914$lUSA01$h1730 979 $c20000919$lUSA01$h1047 979 $c20000919$lUSA01$h1521 979 $c20001019$lUSA01$h1055 979 $c20001019$lUSA01$h1453 979 $c20001019$lUSA01$h1500 979 $c20001019$lUSA01$h1538 979 $c20001024$lUSA01$h1514 979 $c20001027$lUSA01$h1518 979 $c20001027$lUSA01$h1522 979 $c20001110$lUSA01$h1709 979 $c20001124$lUSA01$h1207 979 $aPATRY$b90$c20020104$lUSA01$h1159 979 $c20020403$lUSA01$h1614 979 $aJOHNNY$b90$c20021014$lUSA01$h1628 979 $aJOHNNY$b90$c20021014$lUSA01$h1629 979 $aPATRY$b90$c20040406$lUSA01$h1606 979 $aRSIAV1$b90$c20091217$lUSA01$h1643 996 $aOnly words$924739 997 $aUNISA LEADER 05308nam 22007575 450 001 9910300242403321 005 20250408034653.0 010 $a3-319-17377-4 024 7 $a10.1007/978-3-319-17377-1 035 $a(CKB)3710000000474147 035 $a(EBL)4178198 035 $a(SSID)ssj0001584813 035 $a(PQKBManifestationID)16265106 035 $a(PQKBTitleCode)TC0001584813 035 $a(PQKBWorkID)14866389 035 $a(PQKB)10591417 035 $a(DE-He213)978-3-319-17377-1 035 $a(MiAaPQ)EBC4178198 035 $a(PPN)190531495 035 $a(EXLCZ)993710000000474147 100 $a20150904d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Statistical Models for Data Analysis /$fedited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (264 p.) 225 1 $aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 300 $aDescription based upon print version of record. 311 08$a3-319-17376-6 320 $aIncludes bibliographical references at the end of each chapters. 327 $aUsing the dglars Package to Estimate a Sparse Generalized Linear Model -- A Depth function for Geostatistical Functional Data -- Robust Clustering of EU Banking Data -- Sovereign Risk and Contagion Effects in the Eurozone: a Bayesian Stochastic Correlation Model -- Female Labour Force Participation and Selection Effect: Southern vs Eastern European Countries -- Asymptotics in Survey Sampling for High Entropy Sampling Design -- A Note On the Use of Recursive Partitioning in Causal Inference -- Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach -- Families of Parsimonious Finite Mixtures of Regression Models -- Quantile Regression for Clustering and Modeling Data -- Non-metric MDS Consensus Community Detection -- The performance of the Gradient-like Influence Measure in Generalized Linear Mixed Models -- New Flexible Probability Distributions for Ranking Data -- Robust Estimation of Regime Switching Models -- Incremental Visualization of Categorical Data -- A new Proposal for Tree Model Selection and Visualization -- Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys -- Comparing Fuzzy and Multidimensional Methods to Evaluate Well-being in European Regions -- Cluster Analysis of Three-way Atmospheric Data -- Asymmetric CLUster Analysis Based on SKEW-symmetry: ACLUSKEW -- Parsimonious Generalized Linear Gaussian Cluster-Weighted Models -- New perspectives for the MDC Index in Social Research Fields -- Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches -- Novelty Detection with One-class Support Vector Machines -- Using Discrete-time  Multi-State Models to Analyze  Students' University Pathways. 330 $aThis edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy. 410 0$aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 606 $aStatistics 606 $aMathematical statistics$xData processing 606 $aStatistics 606 $aSocial sciences$xStatistical methods 606 $aStatistical Theory and Methods 606 $aStatistics and Computing 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 615 0$aStatistics. 615 0$aMathematical statistics$xData processing. 615 0$aStatistics. 615 0$aSocial sciences$xStatistical methods. 615 14$aStatistical Theory and Methods. 615 24$aStatistics and Computing. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 676 $a519.5 702 $aMorlini$b Isabella$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMinerva$b Tommaso$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVichi$b Maurizio$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300242403321 996 $aAdvances in statistical models for data analysis$91522626 997 $aUNINA