Información del autor
Autor Reinhold Decker |
Documentos disponibles escritos por este autor (4)
Refinar búsquedaAdvances in Data Analysis / SpringerLink (Online service) ; Reinhold Decker ; Hans-Joachim Lenz (2007)
Título : Advances in Data Analysis : Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Reinhold Decker ; Hans-Joachim Lenz Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XVI, 687 p Il.: online resource ISBN/ISSN/DL: 978-3-540-70981-7 Idioma : Inglés (eng) Palabras clave: Computer science Data structures (Computer science) mining Statistics Science Structures, Cryptology and Information Theory Statistical Methods Mining Knowledge Discovery for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Social Science, Behavorial Education, Public Policy, Law Clasificación: 51 Matemáticas Nota de contenido: Clustering -- Classification -- Data and Time Series Analysis -- Visualization and Scaling Methods -- Information Retrieval, Data and Web Mining -- Marketing, Management Science and Economics -- Banking and Finance -- Bio- and Health Sciences -- Linguistics and Text Analysis -- Statistical Musicology and Sound Classification -- Archaeology En línea: http://dx.doi.org/10.1007/978-3-540-70981-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34657 Advances in Data Analysis : Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006 [documento electrónico] / SpringerLink (Online service) ; Reinhold Decker ; Hans-Joachim Lenz . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - XVI, 687 p : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-540-70981-7
Idioma : Inglés (eng)
Palabras clave: Computer science Data structures (Computer science) mining Statistics Science Structures, Cryptology and Information Theory Statistical Methods Mining Knowledge Discovery for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Social Science, Behavorial Education, Public Policy, Law Clasificación: 51 Matemáticas Nota de contenido: Clustering -- Classification -- Data and Time Series Analysis -- Visualization and Scaling Methods -- Information Retrieval, Data and Web Mining -- Marketing, Management Science and Economics -- Banking and Finance -- Bio- and Health Sciences -- Linguistics and Text Analysis -- Statistical Musicology and Sound Classification -- Archaeology En línea: http://dx.doi.org/10.1007/978-3-540-70981-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34657 Ejemplares
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Título : Data Analysis and Decision Support Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Daniel Baier ; Reinhold Decker ; Schmidt-Thieme, Lars Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2005 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XI, 352 p Il.: online resource ISBN/ISSN/DL: 978-3-540-28397-3 Idioma : Inglés (eng) Palabras clave: Statistics Information technology Business Data processing structures (Computer science) Mathematical statistics Computers Statistical Theory and Methods IT in Probability Computer Science Systems Communication Service Structures Clasificación: 51 Matemáticas Resumen: It is a great privilege and pleasure to write a foreword for a book honor ing Wolfgang Gaul on the occasion of his sixtieth birthday. Wolfgang Gaul is currently Professor of Business Administration and Management Science and the Head of the Institute of Decision Theory and Management Science, Faculty of Economics, University of Karlsruhe (TH), Germany. He is, by any measure, one of the most distinguished and eminent scholars in the world today. Wolfgang Gaul has been instrumental in numerous leading research initia tives and has achieved an unprecedented level of success in facilitating com munication among researchers in diverse disciplines from around the world. A particularly remarkable and unique aspect of his work is that he has been a leading scholar in such diverse areas of research as graph theory and net work models, reliability theory, stochastic optimization, operations research, probability theory, sampling theory, cluster analysis, scaling and multivariate data analysis. His activities have been directed not only at these and other theoretical topics, but also at applications of statistical and mathematical tools to a multitude of important problems in computer science (e.g., w- mining), business research (e.g., market segmentation), management science (e.g., decision support systems) and behavioral sciences (e.g., preference mea surement and data mining). All of his endeavors have been accomplished at the highest level of professional excellence Nota de contenido: Data Analysis -- Optimization in Symbolic Data Analysis: Dissimilarities, Class Centers, and Clustering -- An Efficient Branch and Bound Procedure for Restricted Principal Components Analysis -- A Tree Structured Classifier for Symbolic Class Description -- A Diversity Measure for Tree-Based Classifier Ensembles -- Repeated Confidence Intervals in Self-Organizing Studies -- Fuzzy and Crisp Mahalanobis Fixed Point Clusters -- Interpretation Aids for Multilayer Perceptron Neural Nets -- An Unfolding Scaling Model for Aggregated Preferential Choice Data -- Model-Based Clustering — Discussion on Some Approaches -- Three-Way Multidimensional Scaling: Formal Properties and Relationships Between Scaling Methods -- Empirical Approach as a Scientific Framework for Data Analysis -- Asymmetric Multidimensional Scaling of Relationships Among Managers of a Firm -- Aggregation of Ordinal Judgements Based on Condorcet’s Majority Rule -- ANOVA Models with Generalized Inverses -- Patterns in Search Queries -- Performance Drivers for Depth-First Frequent Pattern Mining -- On the Performance of Algorithms for Two-Mode Hierarchical Cluster Analysis — Results from a Monte Carlo Simulation Study -- Clustering Including Dimensionality Reduction -- The Number of Clusters in Market Segmentation -- On Variability of Optimal Policies in Markov Decision Processes -- Decision Support -- Linking Quality Function Deployment and Conjoint Analysis for New Product Design -- Financial Management in an International Company: An OR-Based Approach for a Logistics Service Provider -- Development of a Long-Term Strategy for the Moscow Urban Transport System -- The Importance of E-Commerce in China and Russia — An Empirical Comparison -- Analyzing Trading Behavior in Transaction Data of Electronic Election Markets -- Critical Success Factors for Data Mining Projects -- Equity Analysis by Functional Approach -- A Multidimensional Approach to Country of Origin Effects in the Automobile Market -- Loyalty Programs and Their Impact on Repeat Purchase Behaviour: An Extension on the “Single Source” Panel BehaviorScan -- An Empirical Examination of Daily Stock Return Distributions for U.S. Stocks -- Stages, Gates, and Conflicts in New Product Development: A Classification Approach -- Analytical Lead Management in the Automotive Industry -- Die Nutzung von multivariaten statistischen Verfahren in der Praxis - Ein Erfahrungsbericht 20 Jahre danach -- Heuristic Bundling -- The Option of No-Purchase in the Empirical Description of Brand Choice Behaviour -- klaR Analyzing German Business Cycles En línea: http://dx.doi.org/10.1007/3-540-28397-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35297 Data Analysis and Decision Support [documento electrónico] / SpringerLink (Online service) ; Daniel Baier ; Reinhold Decker ; Schmidt-Thieme, Lars . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2005 . - XI, 352 p : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-540-28397-3
Idioma : Inglés (eng)
Palabras clave: Statistics Information technology Business Data processing structures (Computer science) Mathematical statistics Computers Statistical Theory and Methods IT in Probability Computer Science Systems Communication Service Structures Clasificación: 51 Matemáticas Resumen: It is a great privilege and pleasure to write a foreword for a book honor ing Wolfgang Gaul on the occasion of his sixtieth birthday. Wolfgang Gaul is currently Professor of Business Administration and Management Science and the Head of the Institute of Decision Theory and Management Science, Faculty of Economics, University of Karlsruhe (TH), Germany. He is, by any measure, one of the most distinguished and eminent scholars in the world today. Wolfgang Gaul has been instrumental in numerous leading research initia tives and has achieved an unprecedented level of success in facilitating com munication among researchers in diverse disciplines from around the world. A particularly remarkable and unique aspect of his work is that he has been a leading scholar in such diverse areas of research as graph theory and net work models, reliability theory, stochastic optimization, operations research, probability theory, sampling theory, cluster analysis, scaling and multivariate data analysis. His activities have been directed not only at these and other theoretical topics, but also at applications of statistical and mathematical tools to a multitude of important problems in computer science (e.g., w- mining), business research (e.g., market segmentation), management science (e.g., decision support systems) and behavioral sciences (e.g., preference mea surement and data mining). All of his endeavors have been accomplished at the highest level of professional excellence Nota de contenido: Data Analysis -- Optimization in Symbolic Data Analysis: Dissimilarities, Class Centers, and Clustering -- An Efficient Branch and Bound Procedure for Restricted Principal Components Analysis -- A Tree Structured Classifier for Symbolic Class Description -- A Diversity Measure for Tree-Based Classifier Ensembles -- Repeated Confidence Intervals in Self-Organizing Studies -- Fuzzy and Crisp Mahalanobis Fixed Point Clusters -- Interpretation Aids for Multilayer Perceptron Neural Nets -- An Unfolding Scaling Model for Aggregated Preferential Choice Data -- Model-Based Clustering — Discussion on Some Approaches -- Three-Way Multidimensional Scaling: Formal Properties and Relationships Between Scaling Methods -- Empirical Approach as a Scientific Framework for Data Analysis -- Asymmetric Multidimensional Scaling of Relationships Among Managers of a Firm -- Aggregation of Ordinal Judgements Based on Condorcet’s Majority Rule -- ANOVA Models with Generalized Inverses -- Patterns in Search Queries -- Performance Drivers for Depth-First Frequent Pattern Mining -- On the Performance of Algorithms for Two-Mode Hierarchical Cluster Analysis — Results from a Monte Carlo Simulation Study -- Clustering Including Dimensionality Reduction -- The Number of Clusters in Market Segmentation -- On Variability of Optimal Policies in Markov Decision Processes -- Decision Support -- Linking Quality Function Deployment and Conjoint Analysis for New Product Design -- Financial Management in an International Company: An OR-Based Approach for a Logistics Service Provider -- Development of a Long-Term Strategy for the Moscow Urban Transport System -- The Importance of E-Commerce in China and Russia — An Empirical Comparison -- Analyzing Trading Behavior in Transaction Data of Electronic Election Markets -- Critical Success Factors for Data Mining Projects -- Equity Analysis by Functional Approach -- A Multidimensional Approach to Country of Origin Effects in the Automobile Market -- Loyalty Programs and Their Impact on Repeat Purchase Behaviour: An Extension on the “Single Source” Panel BehaviorScan -- An Empirical Examination of Daily Stock Return Distributions for U.S. Stocks -- Stages, Gates, and Conflicts in New Product Development: A Classification Approach -- Analytical Lead Management in the Automotive Industry -- Die Nutzung von multivariaten statistischen Verfahren in der Praxis - Ein Erfahrungsbericht 20 Jahre danach -- Heuristic Bundling -- The Option of No-Purchase in the Empirical Description of Brand Choice Behaviour -- klaR Analyzing German Business Cycles En línea: http://dx.doi.org/10.1007/3-540-28397-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35297 Ejemplares
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Título : Data Analysis, Machine Learning and Applications : Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Christine Preisach ; Hans Burkhardt ; Schmidt-Thieme, Lars ; Reinhold Decker Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2008 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XVI, 719 p Il.: online resource ISBN/ISSN/DL: 978-3-540-78246-9 Idioma : Inglés (eng) Palabras clave: Computer science Information technology Business Data processing mining Artificial intelligence Statistics Science Intelligence (incl. Robotics) Statistics, general IT in Mining and Knowledge Discovery Clasificación: 51 Matemáticas Resumen: Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007 Nota de contenido: Classification -- Clustering -- Multidimensional Data Analysis -- Analysis of Complex Data -- Exploratory Data Analysis and Tools for Data Analysis -- Marketing and Management Science -- Banking and Finance -- Business Intelligence -- Text Mining, Web Mining, and the Semantic Web -- Linguistics -- Data Analysis in Humanities En línea: http://dx.doi.org/10.1007/978-3-540-78246-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34372 Data Analysis, Machine Learning and Applications : Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007 [documento electrónico] / SpringerLink (Online service) ; Christine Preisach ; Hans Burkhardt ; Schmidt-Thieme, Lars ; Reinhold Decker . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2008 . - XVI, 719 p : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-540-78246-9
Idioma : Inglés (eng)
Palabras clave: Computer science Information technology Business Data processing mining Artificial intelligence Statistics Science Intelligence (incl. Robotics) Statistics, general IT in Mining and Knowledge Discovery Clasificación: 51 Matemáticas Resumen: Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007 Nota de contenido: Classification -- Clustering -- Multidimensional Data Analysis -- Analysis of Complex Data -- Exploratory Data Analysis and Tools for Data Analysis -- Marketing and Management Science -- Banking and Finance -- Business Intelligence -- Text Mining, Web Mining, and the Semantic Web -- Linguistics -- Data Analysis in Humanities En línea: http://dx.doi.org/10.1007/978-3-540-78246-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34372 Ejemplares
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Título : New Developments in Classification and Data Analysis : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22–24, 2003 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Hans-Hermann Bock ; Wolfgang A. Gaul ; Maurizio Vichi ; Ph. Arabie ; Daniel Baier ; F. Critchley ; Reinhold Decker ; Edwin Diday ; Michael J. Greenacre ; Carlo Natale Lauro ; J. Meulman ; Paola Monari ; S. Nishisato ; N. Ohsumi ; O. Opitz ; Gunter Ritter ; Schader, M ; Claus Weihs ; Maurizio Vichi ; Paola Monari ; Stefania Mignani ; Angela Montanari Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2005 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: X, 370 p. 92 illus Il.: online resource ISBN/ISSN/DL: 978-3-540-27373-8 Idioma : Inglés (eng) Palabras clave: Statistics Database management for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Management Clasificación: 51 Matemáticas Resumen: This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003. The scientific program of the conference included 80 contributed papers. Moreover it was possible to recruit six internationally renowned invited spe- ers for plenary talks on their current research works regarding the core topics of IFCS (the International Federation of Classification Societies) and Wo- gang Gaul and the colleagues of the GfKl organized a session. Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussions and mutual exchange of knowledge. The talks in the different sessions focused on methodological developments in supervised and unsupervised classification and in data analysis, also p- viding relevant contributions in the context of applications. This suggested the presentation of the 43 selected papers in three parts as follows: CLASSIFICATION AND CLUSTERING Non parametric classification Clustering and dissimilarities MULTIVARIATE STATISTICS AND DATA ANALYSIS APPLIED MULTIVARIATE STATISTICS Environmental data Microarray data Behavioural and text data Financial data We wish to express our gratitude to the authors whose enthusiastic p- ticipation made the meeting possible. We are very grateful to the reviewers for the time spent in their professional reviewing work. We would also like to extend our thanks to the chairpersons and discussants of the sessions: their comments and suggestions proved very stimulating both for the authors and the audience Nota de contenido: Classification and Clustering -- Multi-Class Budget Exploratory Trees -- Methods to Compare Nonparametric Classifiers and to Select the Predictors -- Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis -- Simplifying Classification Trees Through Consensus Methods -- Selecting the Training Set in Classification Problems with Rare Events -- A Classification and Discrimination Integrated Strategy Conducted on Symbolic Data for Missing Data Treatment in Questionnaire Survey -- A Collinearity Based Hierarchical Method to Identify Clusters of Variables -- On the Dynamic Time Warping for Computing the Dissimilarity Between Curves -- Metrics in Symbolic Data Analysis -- Constrained Clusterwise Linear Regression -- Crossed Clustering Method on Symbolic Data Tables -- Multivariate Statistics and Data Analysis -- Some Statistical Applications of Centrosymmetric Matrices -- Selection of Structural Equation Models with the PLS-VB Programme -- Web Robot Detection - Preprocessing Web Logfiles for Robot Detection -- Data Dependent Prior Modeling and Estimation in Contingency Tables: The Order-Restricted RC Model -- PLS Typological Regression: Algorithmic, Classification and Validation Issues -- Weighted Metric Multidimensional Scaling -- An Improved Majorization Algorithm for Robust Procrustes Analysis -- Generalized Bi-Additive Modelling for Categorical Data -- Model Selection Procedures in Three-Mode Component Models -- Principal Component Analysis for Non-Precise Data -- A New Version of the Structural Dynamic Model with Unique Latent Scores -- Some Issues About the Use of Experts -- Nonparametric Methods in Survey Sampling -- A Different Approach for the Analysis of Web Access Logs -- Blending Statistics and Graphics in Visual Data Mining -- Confidence Regions in Multivariate Calibration: A Proposal -- Applied Multivariate Statistics -- Nonparametric Analysis of Air Pollution Indices Compositions -- VAR Models for Spatio-temporal Structures: An Application to Environmental Data -- Analysis of Spatial Covariance Structure for Environmental Data -- Bayesian Clustering of Gene Expression Dynamics: An Application -- A Hierarchical Mixture Model for Gene Expression Data -- Sequence Analysis of BHPS Life Course Data -- Robust Multivariate Methods for the Analysis of the University Performance -- Some Insights into the Evolution of 1990s' Standard Italian Using Text Mining Techniques and Automatic Categorization -- Evaluating Undergraduate Education Through Multiple Choice Tests -- A New Approach in Business Travel Survey: Multivariate Techniques for Strata Design -- Value-Orientations and Partnership -- An Item Response Theory Model for Student Ability Evaluation Using Computer-Automated Test Results -- Functional Cluster Analysis of Financial Time Series -- The Role of the Normal Distribution in Financial Markets -- Functional Principal Component Analysis of Financial Time Series -- Elliptically Symmetric Distributions: A Review of Achieved Results and Open Issues En línea: http://dx.doi.org/10.1007/b138989 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35278 New Developments in Classification and Data Analysis : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22–24, 2003 [documento electrónico] / SpringerLink (Online service) ; Hans-Hermann Bock ; Wolfgang A. Gaul ; Maurizio Vichi ; Ph. Arabie ; Daniel Baier ; F. Critchley ; Reinhold Decker ; Edwin Diday ; Michael J. Greenacre ; Carlo Natale Lauro ; J. Meulman ; Paola Monari ; S. Nishisato ; N. Ohsumi ; O. Opitz ; Gunter Ritter ; Schader, M ; Claus Weihs ; Maurizio Vichi ; Paola Monari ; Stefania Mignani ; Angela Montanari . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2005 . - X, 370 p. 92 illus : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-540-27373-8
Idioma : Inglés (eng)
Palabras clave: Statistics Database management for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Management Clasificación: 51 Matemáticas Resumen: This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003. The scientific program of the conference included 80 contributed papers. Moreover it was possible to recruit six internationally renowned invited spe- ers for plenary talks on their current research works regarding the core topics of IFCS (the International Federation of Classification Societies) and Wo- gang Gaul and the colleagues of the GfKl organized a session. Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussions and mutual exchange of knowledge. The talks in the different sessions focused on methodological developments in supervised and unsupervised classification and in data analysis, also p- viding relevant contributions in the context of applications. This suggested the presentation of the 43 selected papers in three parts as follows: CLASSIFICATION AND CLUSTERING Non parametric classification Clustering and dissimilarities MULTIVARIATE STATISTICS AND DATA ANALYSIS APPLIED MULTIVARIATE STATISTICS Environmental data Microarray data Behavioural and text data Financial data We wish to express our gratitude to the authors whose enthusiastic p- ticipation made the meeting possible. We are very grateful to the reviewers for the time spent in their professional reviewing work. We would also like to extend our thanks to the chairpersons and discussants of the sessions: their comments and suggestions proved very stimulating both for the authors and the audience Nota de contenido: Classification and Clustering -- Multi-Class Budget Exploratory Trees -- Methods to Compare Nonparametric Classifiers and to Select the Predictors -- Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis -- Simplifying Classification Trees Through Consensus Methods -- Selecting the Training Set in Classification Problems with Rare Events -- A Classification and Discrimination Integrated Strategy Conducted on Symbolic Data for Missing Data Treatment in Questionnaire Survey -- A Collinearity Based Hierarchical Method to Identify Clusters of Variables -- On the Dynamic Time Warping for Computing the Dissimilarity Between Curves -- Metrics in Symbolic Data Analysis -- Constrained Clusterwise Linear Regression -- Crossed Clustering Method on Symbolic Data Tables -- Multivariate Statistics and Data Analysis -- Some Statistical Applications of Centrosymmetric Matrices -- Selection of Structural Equation Models with the PLS-VB Programme -- Web Robot Detection - Preprocessing Web Logfiles for Robot Detection -- Data Dependent Prior Modeling and Estimation in Contingency Tables: The Order-Restricted RC Model -- PLS Typological Regression: Algorithmic, Classification and Validation Issues -- Weighted Metric Multidimensional Scaling -- An Improved Majorization Algorithm for Robust Procrustes Analysis -- Generalized Bi-Additive Modelling for Categorical Data -- Model Selection Procedures in Three-Mode Component Models -- Principal Component Analysis for Non-Precise Data -- A New Version of the Structural Dynamic Model with Unique Latent Scores -- Some Issues About the Use of Experts -- Nonparametric Methods in Survey Sampling -- A Different Approach for the Analysis of Web Access Logs -- Blending Statistics and Graphics in Visual Data Mining -- Confidence Regions in Multivariate Calibration: A Proposal -- Applied Multivariate Statistics -- Nonparametric Analysis of Air Pollution Indices Compositions -- VAR Models for Spatio-temporal Structures: An Application to Environmental Data -- Analysis of Spatial Covariance Structure for Environmental Data -- Bayesian Clustering of Gene Expression Dynamics: An Application -- A Hierarchical Mixture Model for Gene Expression Data -- Sequence Analysis of BHPS Life Course Data -- Robust Multivariate Methods for the Analysis of the University Performance -- Some Insights into the Evolution of 1990s' Standard Italian Using Text Mining Techniques and Automatic Categorization -- Evaluating Undergraduate Education Through Multiple Choice Tests -- A New Approach in Business Travel Survey: Multivariate Techniques for Strata Design -- Value-Orientations and Partnership -- An Item Response Theory Model for Student Ability Evaluation Using Computer-Automated Test Results -- Functional Cluster Analysis of Financial Time Series -- The Role of the Normal Distribution in Financial Markets -- Functional Principal Component Analysis of Financial Time Series -- Elliptically Symmetric Distributions: A Review of Achieved Results and Open Issues En línea: http://dx.doi.org/10.1007/b138989 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35278 Ejemplares
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