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Advances in Classification and Data Analysis Softcover reprint of the original 1st ed. 2001 [Pehme köide]

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  • Formaat: Paperback / softback, 378 pages, kõrgus x laius: 235x155 mm, kaal: 599 g, 9 Illustrations, black and white; X, 378 p. 9 illus., 1 Paperback / softback
  • Sari: Studies in Classification, Data Analysis, and Knowledge Organization
  • Ilmumisaeg: 27-Feb-2001
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540414886
  • ISBN-13: 9783540414889
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Advances in Classification and Data Analysis Softcover reprint of the original 1st ed. 2001Suurem pilt
  • Formaat: Paperback / softback, 378 pages, kõrgus x laius: 235x155 mm, kaal: 599 g, 9 Illustrations, black and white; X, 378 p. 9 illus., 1 Paperback / softback
  • Sari: Studies in Classification, Data Analysis, and Knowledge Organization
  • Ilmumisaeg: 27-Feb-2001
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540414886
  • ISBN-13: 9783540414889
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783540414889.html
Märksõnad:
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.

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Springer Book Archives
Part I Classification and Multidimensional Scaling
Cluster Analysis
Galois Lattices of Modal Symbolic Objects
3(8)
Bruzzese D.
Irpino A.
Exploratory Methods for Detecting High Density Regions in Cluster Analysis
11(8)
Cerioli A.
Zani S.
A k-means Consensus Classification
19(8)
Costanzo G.D.
MIXISO: A Non-Hierarchical Clustering Method for Mixed-Mode Data
27(8)
Di Ciaccio A.
``Stable Clusters'': A New Approach for Clustering Binary Variables
35(8)
Piccarreta R.
Double k-means Clustering for Simultaneous Classification of Objects and Variables
43(10)
Vichi M.
Discriminant Analysis
Categorical FDA Under Prospective Sampling Scheme: a Proposal for Variable Selection
53(8)
Palumbo F.
The Effect of Telephone Survey Design on Discriminant Analysis
61(8)
Petrucci A.
Pratesi M.
Proximity Structures Analysis and Multidimensional Scaling
A Dissimilarity Measure between Probabilistic Symbolic Objects
69(8)
Bocci L.
Recent Experimentation on Euclidean Approximations of Biased Euclidean Distances
77(8)
Camiz S.
Le Calve G.
Comparing Capital Structure through Similarity Analysis: Evidence about Two Industrial Districts
85(8)
Cipollini F.
Ganugi P.
The Geometric Approach to the Comparison of Multivariate Time Trajectories
93(8)
Coppi R.
D'Urso P.
Ultramine Spaces in Classification
101(8)
Vicari D.
Genetic Algorithms and Neural Networks
Genetic Algorithms and Clustering: an Application to Fisher's Iris Data
109(10)
Baragona R.
Calzini C.
Battaglia F.
Using Radial Basis Function Networks for Classification Problems
119(8)
Morlini I.
Unconditional Latent Budget Analysis: a Neural Network Approach
127(10)
Siciliano R.
Mooijaart A.
Part II Multivariate Data Analysis
Factorial Methods
Generalized Constrained Principal Component Analysis
137(8)
Amenta P.
D'Ambra L.
Interaction Terms in Homogeneity Analysis: Higher Order Non-Linear Multiple Correspondence Analysis
145(8)
Lombardo R.
van Rijckevorsel J.
Perturbation Models for Principal Component Analysis of Rainwater Pollution Data
153(8)
Mantovan P.
Pastore A.
Core Matrix Rotation to Natural Zeros in Three-Mode Factor Analysis
161(8)
Rocci R.
Textual Data Analysis
A Factorial Technique for Analysing Textual Data with External Information
169(16)
Balbi S.
Giordano G.
Subjects on Using Open and Closed-Ended Questions
177(8)
Tuzzi A.
Regression Models for Data Analysis
Alternative Error Term Specifications in the Log-Tobit Model
185(8)
Bernardini Papalia R.
Di Iorio F.
A Customer Satisfaction Approach for User-Oriented Comparative Evaluations of Services
193(8)
D'Epifanio G.
Mixture Models for Maximum Likelihood Estimation from Incomplete Values
201(8)
Domma F.
Ingrassia S.
Robust Inference in the Logistic Regression Model
209(8)
La Rocca M.
A Plot for Submodel Selection in Generalized Linear Models
217(8)
Porzio G.C.
On the Use of Multivariate Regression Models in the Context of Multilevel Analysis
225(8)
Vittadini G.
Nonparametric Methods
Nonparametric Estimation Methods for Sparse Contingency Tables
233(8)
Borgoni R.
Provasi C.
Reduction of Prediction Error by Bagging Projection Pursuit Regression
241(8)
Borra S.
Di Ciaccio A.
Selecting Regression Tree Models: a Statistical Testing Procedure
249(8)
Cappelli C.
Mola F.
Siciliano R.
Linear Fuzzy Regression Analysis with Asymmetric Spreads
257(10)
D'Urso P.
Gastaldi T.
Part III Spatial and Time Series Data Analysis
Time Series Analysis
Forecasting Non-Linear Time Series: Empirical Evidences on Financial Data
267(8)
Amendola A.
Giordano F.
Perna C.
Dynamics and Comovements of Regional Exports in Italy
275(8)
Cubadda G.
Daddi P.
Large-sample Properties of Neural Estimators in a Regression Model with φv;-mixing Errors
283(8)
Giordano F.
Perna C.
Subseries Length in MBB Procedure for φv;-mixing Processes
291(8)
La Rocca M.
Vitale C.
Modelling a Change of Classification by a Structural Time Series Approach
299(8)
Moauro F.
Spatial Data Analysis
Spatial Discriminant Analysis Using Covariates Information
307(8)
Alfo M.
Postiglione P.
Some Aspects of Multivariate Geostatistics
315(10)
De Iaco S.
Posa D.
Exploring Multivariate Spatial Data: an Application to Election Data
325(8)
Jona Lasinio G.
Mancuso F.
Measures of Distances for Spatial Data: an Application to the Banking Deposits in the Italian Provinces
333(10)
Nissi E.
Part IV Applications and Case Studies
Statistical Analysis of Papal Encyclicals
343(8)
Bisceglia B.
Rizzi A.
Life Courses as Sequences: an Experiment in Clustering via Monothetic Divisive Algorithms
351(8)
Billari F.C.
Piccarreta R.
Significance of the Classification for the Italian Service Sector Activities
359(8)
Giorgi A.R.
Moro R.
A Neural Net Model to Predict High Tides in Venice
367(8)
Minerva T.
Poli I.
Author Index 375(1)
Keywords Index 376