An edition of Statistical Models for Data Analysis
(2013)
Statistical Models for Data Analysis
by Paolo Giudici
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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.
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Previews available in: English
Subjects
Statistics, Educational tests and measurements, Data Mining and Knowledge Discovery, Electronic data processing, Economics, Mathematical statistics, Statistical Theory and Methods, Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law, Data mining, Testing and Evaluation Assessment, Statistics for Business/Economics/Mathematical Finance/Insurance, Computing Methodologies| Edition | Availability |
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Statistical Models for Data Analysis
2013, Springer London, Limited
electronic resource /
in English
3319000322 9783319000329
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Book Details
Table of 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. .
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