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＜電子ブック＞
Advances in Classification and Data Analysis / edited by Simone Borra, Roberto Rocci, Maurizio Vichi, Martin Schader
(Studies in Classification, Data Analysis, and Knowledge Organization. ISSN:21983321)

版	1st ed. 2001.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2001
本文言語	英語
大きさ	X, 378 p. 9 illus : online resource
著者標目	Borra, Simone editor Rocci, Roberto editor Vichi, Maurizio editor Schader, Martin editor SpringerLink (Online service)
件　名	LCSH:Econometrics LCSH:Statistics  LCSH:Data structures (Computer science) LCSH:Information theory FREE:Quantitative Economics FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Data Structures and Information Theory
一般注記	I Classification and Multidimensional Scaling -- Cluster Analysis -- Galois Lattices of Modal Symbolic Objects -- Exploratory Methods for Detecting High Density Regions in Cluster Analysis -- A k-means Consensus Classification -- MIXISO: A Non-Hierarchical Clustering Method for Mixed-Mode Data -- “Stable Clusters”: A New Approach for Clustering Binary Variables -- Double k-means Clustering for Simultaneous Classification of Objects and Variables -- Discriminant Analysis -- Categorical FDA Under Prospective Sampling Scheme: a Proposal for Variable Selection -- The Effect of Telephone Survey Design on Discriminant Analysis -- Proximity Structures Analysis and Multidimensional Scaling -- A Dissimilarity Measure Between Probabilistic Symbolic Objects -- Recent Experimentation on Euclidean Approximations of Biased Euclidean Distances -- Comparing Capital Structure through Similarity Analysis: Evidence about Two Industrial Districts -- The Geometric Approach to the Comparison of Multivariate Time Trajectories -- Ultramine Spaces in Classification -- Genetic Algorithms and Neural Network -- Genetic Algorithms and Clustering: an Application to Fisher’s Iris Data -- Using Radial Basis Function Networks for Classification Problems -- Unconditional Latent Budget Analysis: a Neural Network Approach -- II Multivariate Data Analysis -- Factorial Methods -- Generalized Constrained Principal Component Analysis -- Interaction Terms in Homogeneity Analysis: Higher Order Non-Linear Multiple Correspondence Analysis -- Perturbation Models for Principal Component Analysis of Rainwater Pollution Data -- Core Matrix Rotation to Natural Zeros in Three-Mode Factor Analysis -- Textual Data Analysis -- A Factorial Technique for Analysing Textual Data with External Information -- Subjects on Using Open and Closed-EndedQuestions -- Regression Models for Data Analysis -- Alternative Error Term Specifications in the Log-Tobit Model -- A Customer Satisfaction Approach for User-Oriented Comparative Evalutations of Services -- Mixture Models for Maximum Likelihood Estimation from Incomplete Values -- Robust Inference in the Logistic Regression Model -- A Plot for Submodel Selection in Generalized Linear Models -- On the Use of Multivariate Regression Models in the Context of Multilevel Analysis -- Nonparametric Methods -- Nonparametric Estimation Methods for Sparse Contingency Tables -- Reduction of Prediction Error by Bagging Projection Pursuit Regression -- Selecting Regression Tree Models: a Statistical Testing Procedure -- Linear Fuzzy Regression Analysis with Asymmetric Spreads -- III Spatial and Time Series Data Analysis -- Time Series Analysis -- Forecasting Non-Linear Time Series: Empirical Evidences on Financial Data -- Dynamics and Comovements of Regional Exports in Italy -- Large-sample Properties of Neural Estimators in a Regression Model with ?-mixing Errors -- Subseries Length in MBB Procedure for ?-mixing Processes -- Modelling a Change of Classification by a Structural Time Series Approach -- Spatial Data Analysis -- Spatial Discriminant Analysis Using Covariates Information -- Some Aspects of Multivariate Geostatistics -- Exploring Multivariate Spatial Data: an Application to Election Data -- Measures of Distances for Spatial Data: an Application to the Banking Deposits in the Italian Provinces -- IV Applications and Case Studies -- Statistical Analysis of Papal Encyclicals -- Life Courses as Sequences: an Experiment in Clustering via Monothetic Divisive Algorithms -- Significance of the Classification for the Italian Service Sector Activities -- A Neural Net Model to Predict High Tides in Venice.-Author Index -- Keywords Index This volume contains a selection of papers presented at the biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica, which was held in Rome, July 5-6, 1999. From the originally submitted papers, a careful review process led to the selection of 45 papers presented in four parts as follows: CLASSIFICATION AND MULTIDIMENSIONAL SCALING Cluster analysis Discriminant analysis Proximity structures analysis and Multidimensional Scaling Genetic algorithms and neural networks MUL TIV ARIA TE DATA ANALYSIS Factorial methods Textual data analysis Regression Models for Data Analysis Nonparametric methods SPATIAL AND TIME SERIES DATA ANALYSIS Time series analysis Spatial data analysis CASE STUDIES INTERNATIONAL FEDERATION OF CLASSIFICATION SOCIETIES The International Federation of Classification Societies (IFCS) is an agency for the dissemination of technical and scientific information concerning classification and data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) from the following Scientific Societies and Groups: British Classification Society -BCS; Classification Society of North America - CSNA; Gesellschaft fUr Klassifikation - GfKI; Japanese Classification Society -JCS; Classification Group of Italian Statistical Society - CGSIS; Societe Francophone de Classification -SFC. Now the IFCS includes also the following Societies: Dutch-Belgian Classification Society - VOC; Polish Classification Society -SKAD; Associayao Portuguesa de Classificayao e Analise de Dados -CLAD; Korean Classification Society -KCS; Group-at-Large HTTP:URL=https://doi.org/10.1007/978-3-642-59471-7

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