The Resource Statistical Models for Data Analysis, edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi, (electronic resource)

Statistical Models for Data Analysis, edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi, (electronic resource)

Label
Statistical Models for Data Analysis
Title
Statistical Models for Data Analysis
Statement of responsibility
edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
Contributor
Editor
Provider
Subject
Language
eng
Summary
The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society
Member of
Image bit depth
0
LC call number
QA276-280
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Giudici, Paolo.
  • Ingrassia, Salvatore.
  • Vichi, Maurizio.
  • SpringerLink
Series statement
Studies in Classification, Data Analysis, and Knowledge Organization,
http://library.link/vocab/subjectName
  • Statistics
  • Data mining
  • Electronic data processing
  • Educational tests and measurements
  • Mathematical statistics
  • Economics
  • Statistics
  • Statistical Theory and Methods
  • Data Mining and Knowledge Discovery
  • Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  • Statistics for Business/Economics/Mathematical Finance/Insurance
  • Assessment, Testing and Evaluation
  • Computing Methodologies
Label
Statistical Models for Data Analysis, edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
From the contents: Ordering curves by data depth -- May the students' career performance helpful in predicting an increase in universities income? -- Model-based classification via patterned covariance analysis -- Data stream summarization by histograms clustering -- Web panel representativeness -- Nonparametric inference via permutation tests for CUB models -- Asymmetric multidimensional scaling models for seriations -- An approach to ranking the hedge funds industry -- Correction of incoherences in statistical matching -- The analysis of network additionality in the context of territorial innovation policy -- Clustering and registration of multidimensional functional data -- Classifying tourism destinations -- On two classes of weighted rank correlation measures deriving from teh Spearman's r -- Beanplot data analysis in a temporal framework -- Supervised classification of facial expressions -- Grouping around different dimensional affine subspaces -- Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach -- A new fuzzy method to classify professional profiles from job announcements -- A metric based approach for the Least Square Regression of multivariate model symbolic data -- A Gaussian-Von Mises Hidden Markov model for clustering multivariate linear-circular data -- And further articles.
Dimensions
unknown
Extent
XV, 419 p. 75 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783319000329
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-00032-9
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-00032-9
Label
Statistical Models for Data Analysis, edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
From the contents: Ordering curves by data depth -- May the students' career performance helpful in predicting an increase in universities income? -- Model-based classification via patterned covariance analysis -- Data stream summarization by histograms clustering -- Web panel representativeness -- Nonparametric inference via permutation tests for CUB models -- Asymmetric multidimensional scaling models for seriations -- An approach to ranking the hedge funds industry -- Correction of incoherences in statistical matching -- The analysis of network additionality in the context of territorial innovation policy -- Clustering and registration of multidimensional functional data -- Classifying tourism destinations -- On two classes of weighted rank correlation measures deriving from teh Spearman's r -- Beanplot data analysis in a temporal framework -- Supervised classification of facial expressions -- Grouping around different dimensional affine subspaces -- Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach -- A new fuzzy method to classify professional profiles from job announcements -- A metric based approach for the Least Square Regression of multivariate model symbolic data -- A Gaussian-Von Mises Hidden Markov model for clustering multivariate linear-circular data -- And further articles.
Dimensions
unknown
Extent
XV, 419 p. 75 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783319000329
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-00032-9
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-00032-9

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