Classification and Data Analysis: Theory and Application Proceedings of the Biannual Meeting of the Classification Group of Societą Italiana di Statistica (SIS) Pescara, July 3–4, 1997

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Maurizio Vichi, Otto Opitz
Springer Science & Business Media, Dec 6, 2012 - Mathematics - 378 pages
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 -GfKl; Japanese Classification Society -JCS; Classification Group of Italian Statistical Society - COSIS; Societe Francophone de Classification -SFC. Now the IFCS includes the following Societies: Dutch-Belgian Classification Society - VOC; Polish Classification Section - SKAD; Portuguese Classification Association - CLAD; Group-at-Large; Korean Classification Society -KCS. Biannual Meeting of the Classification and Data Analysis Group of SIS The biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica (SIS) was held in Pescara, July 3 -4, 1997. The 69 papers presented were divided in 17 sessions. Each session was organized by a chairperson with two invited speakers and two contributed papers from a call for papers. All the works were referred. Furthermore, during the meeting a discussant was provided for each session. A short version of the papers (4 pages) was.published before the conference.
 

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Contents

Consensus classification for a set of multiple time series
11
Forecasting a classification
27
an example of spatiotemporal analysis 43
42
Variable selection in fuzzy clustering
63
Discretization of continuousvalued data in symbolic
81
Logistic discrimination by KullbackLeibler type distance measures
89
Notes on methods for improving unstable classifiers
105
Latent budget trees for multiple classification
121
On the assessment of geographical survey units using
221
Kalman filter applied to noncausal models for spatial data
229
A paradigmatic path for statistical content analysis using
237
The analysis ofauxological data by means ofnonlinear
247
Threeway data arrays with double neighborhood relations
263
Firm performance analysis with panel data
271
Detection of multivariate outliersby convex hulls
279
some observations
295

Comparison of Euclidean approximations of nonEuclidean distances
139
Professional positioning based on dominant eigenvalue scores DES
155
Dynamic factor analysis
171
Principal surfaces constrained analysis
187
Generalised canonical analysis on symbolic objects
195
Analysis of qualitative variables in structural models with unique solutions
203
line transect data
211
Projection pursuit regression with mixed variables
303
Kernel methods for estimating covariance functions from curves
319
Asymptotic prior to posterior analysis for graphical gaussian models
335
A new approach to the stock location assignment problem
353
a PC system for binary and ternary segmentation analysis
367
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