LEADER 03289nam 22005895 450 001 9910483685403321 005 20250327142534.0 010 $a9788847040021 010 $a8847040027 024 7 $a10.1007/978-88-470-4002-1 035 $a(CKB)4100000011372994 035 $a(DE-He213)978-88-470-4002-1 035 $a(MiAaPQ)EBC6284437 035 $a(Au-PeEL)EBL6284437 035 $a(OCoLC)1183958589 035 $a(PPN)250212714 035 $a(EXLCZ)994100000011372994 100 $a20200806d2020 u| 0 101 0 $aita 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModelli Lineari Generalizzati /$fby Alessandra Salvan, Nicola Sartori, Luigi Pace 205 $a1st ed. 2020. 210 1$aMilano :$cSpringer Milan :$cImprint: Springer,$d2020. 215 $a1 online resource (XII, 349 pagg. 58 figg. a colori.) 225 1 $aLa Matematica per il 3+2,$x2038-5757 ;$v124 311 1 $aModelli lineari generalizzati 9788847040014 311 1 $a8847040019 327 $a1. Modelli lineari e lineari generalizzati -- 2. Modelli lineari generalizzati -- 3. Modelli per dati bancari -- 4. Modelli per risposte politomiche -- 5. Modelli per dati di conteggio -- 6. Quasi-verosimiglianza -- Modelli per risposte correlate -- A Dati utilizzati nel testo -- B Distribuzioni di probabilità -- C Eguaglianza tra stime OLS e GLS -- D Il metodo delta -- E Funzioni generatrici -- F Codice R per l?esempio 2.9 -- G Equivalenza tra residui di Pearson e di devianza -- H Modelli per la sovradispersione: schema. 330 $aIl volume fornisce un'introduzione a teoria e applicazioni dei modelli lineari generalizzati. Si presentano modelli di regressione per risposte continue, binarie, categoriali e di conteggio. Si offre anche un'introduzione ai modelli per risposte correlate. Utilizzando il software statistico R, vengono forniti gli strumenti per l'analisi dei dati tramite i diversi modelli parametrici e semiparametrici. Gli esempi con R alla fine di ciascun capitolo rappresentano una guida ad esercitazioni con il computer e richiedono una partecipazione attiva nello svolgere le analisi proposte. Numerosi esercizi concludono ogni capitolo. Il taglio adottato è funzionale ad approfondire in modo integrato aspetti teorici e applicativi. Unico nel suo genere, è rivolto agli studenti di Scienze Statistiche. 410 0$aLa Matematica per il 3+2,$x2038-5757 ;$v124 606 $aStatistics 606 $aMathematical statistics$xData processing 606 $aStatistical Theory and Methods 606 $aStatistics and Computing 615 0$aStatistics. 615 0$aMathematical statistics$xData processing. 615 14$aStatistical Theory and Methods. 615 24$aStatistics and Computing. 676 $a519.5 700 $aSalvan$b Alessandra$4aut$4http://id.loc.gov/vocabulary/relators/aut$0253779 702 $aSartori$b Nicola$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPace$b Luigi$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483685403321 996 $aModelli Lineari Generalizzati$91889266 997 $aUNINA LEADER 08692nam 22008295 450 001 9910484858103321 005 20251226204014.0 024 7 $a10.1007/11546849 035 $a(CKB)1000000000213204 035 $a(SSID)ssj0000317115 035 $a(PQKBManifestationID)11232414 035 $a(PQKBTitleCode)TC0000317115 035 $a(PQKBWorkID)10286932 035 $a(PQKB)10127514 035 $a(DE-He213)978-3-540-31732-6 035 $a(MiAaPQ)EBC3067774 035 $a(PPN)123097010 035 $a(EXLCZ)991000000000213204 100 $a20100719d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aData Warehousing and Knowledge Discovery $e7th International Conference, DaWak 2005, Copenhagen, Denmark, August 22-26, 2005, Proceedings /$fedited by A Min Tjoa 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XVI, 544 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v3589 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-31732-5 311 08$a3-540-28558-X 320 $aIncludes bibliographical references and index. 327 $aData Warehouse I -- A Tree Comparison Approach to Detect Changes in Data Warehouse Structures -- Extending the UML for Designing Association Rule Mining Models for Data Warehouses -- Event-Feeded Dimension Solution -- XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses -- Data Warehouse II -- Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates -- Extending UML 2 Activity Diagrams with Business Intelligence Objects -- Automatic Selection of Bitmap Join Indexes in Data Warehouses -- Evaluating Data Warehouses and Tools -- A Survey of Open Source Tools for Business Intelligence -- DWEB: A Data Warehouse Engineering Benchmark -- A Set of Quality Indicators and Their Corresponding Metrics for Conceptual Models of Data Warehouses -- Design and Development of a Tool for Integrating Heterogeneous Data Warehouses -- Schema Transformations -- An Evolutionary Approach to Schema Partitioning Selection in a Data Warehouse -- Using Schema Transformation Pathways for Incremental View Maintenance -- Data Mapper: An Operator for Expressing One-to-Many Data Transformations -- Materialized Views -- Parallel Consistency Maintenance of Materialized Views Using Referential Integrity Constraints in Data Warehouses -- Selective View Materialization in a Spatial Data Warehouse -- PMC: Select Materialized Cells in Data Cubes -- Aggregates -- Progressive Ranking of Range Aggregates -- On Efficient Storing and Processing of Long Aggregate Lists -- Data Warehouse Queries and Database Processing Issues -- Ad Hoc Star Join Query Processing in Cluster Architectures -- A Precise Blocking Method for Record Linkage -- Flexible Query Answering in Data Cubes -- An Extendible Array Based Implementation of Relational Tables for Multi Dimensional Databases -- Data Mining Algorithms and Techniques -- Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data -- A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data -- Hybrid System of Case-Based Reasoning and Neural Network for Symbolic Features -- Data Mining -- Spatio?temporal Rule Mining: Issues and Techniques -- Hybrid Approach to Web Content Outlier Mining Without Query Vector -- Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views -- A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases -- Association Rules -- Discovering Richer Temporal Association Rules from Interval-Based Data -- Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques -- Maintenance of Generalized Association Rules Under Transaction Update and Taxonomy Evolution -- Prince: An Algorithm for Generating Rule Bases Without Closure Computations -- Text Processing and Classification -- Efficient Compression of Text Attributes of Data Warehouse Dimensions -- Effectiveness of Document Representation for Classification -- 2-PS Based Associative Text Classification -- Miscellaneous Applications -- Intrusion Detection via Analysis and Modelling of User Commands -- Dynamic Schema Navigation Using Formal Concept Analysis -- Security and Privacy Issues -- FMC: An Approach for Privacy Preserving OLAP -- Information Driven Evaluation of Data Hiding Algorithms -- Patterns -- Essential Patterns: A Perfect Cover of Frequent Patterns -- Processing Sequential Patterns in Relational Databases -- Optimizing a Sequence of Frequent Pattern Queries -- A General Effective Framework for Monotony and Tough Constraint Based Sequential Pattern Mining -- Cluster and Classification I -- Hiding Classification Rules for Data Sharing with PrivacyPreservation -- Clustering-Based Histograms for Multi-dimensional Data -- Weighted K-Means for Density-Biased Clustering -- Cluster and Classification II -- A New Approach for Cluster Detection for Large Datasets with High Dimensionality -- Gene Expression Biclustering Using Random Walk Strategies -- Spectral Kernels for Classification -- Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges. 330 $aFor more than a decade, data warehousing and knowledge discovery technologies have been developing into key technologies for decision-making processes in com- nies. Since 1999, due to the relevant role of these technologies in academia and ind- try, the Data Warehousing and Knowledge Discovery (DaWaK) conference series have become an international forum where both practitioners and researchers share their findings, publish their relevant results and dispute in depth research issues and experiences on data warehousing and knowledge discovery systems and applications. The 7th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2005) continued series of successful conferences dedicated to these topics. In this edition, the conference tried to provide the right, logical balance between data warehousing and knowledge discovery. Regarding data warehousing, papers cover different relevant and still unsolved research problems, such as the modelling of ETL processes and integration problems, designing OLAP technologies from XML do- ments, modelling data warehouses and data mining applications together, impro- ments in query processing, partitioning and implementations. With regard to data mining, a variety of papers were presented on subjects including data mining te- niques, clustering, classification, text documents and classification, and patterns. These proceedings contain the technical papers that were selected for presentation at the conference. We received 196 abstracts, and finally received 162 papers from 38 countries, and the Program Committee eventually selected 51 papers, making an acceptance rate of 31.4 % of submitted papers. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v3589 606 $aData structures (Computer science) 606 $aInformation theory 606 $aDatabase management 606 $aInformation storage and retrieval systems 606 $aApplication software 606 $aComputer networks 606 $aArtificial intelligence 606 $aData Structures and Information Theory 606 $aDatabase Management 606 $aInformation Storage and Retrieval 606 $aComputer and Information Systems Applications 606 $aComputer Communication Networks 606 $aArtificial Intelligence 615 0$aData structures (Computer science). 615 0$aInformation theory. 615 0$aDatabase management. 615 0$aInformation storage and retrieval systems. 615 0$aApplication software. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 14$aData Structures and Information Theory. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Communication Networks. 615 24$aArtificial Intelligence. 676 $a005.74 701 $aTjoa$b A Min$0909730 701 $aTrujillo$b Juan$01751464 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484858103321 996 $aData warehousing and knowledge discovery$94186446 997 $aUNINA