Applied multivariate statistical analysis

By: Hardle,WolfgangContributor(s): Simar, LeopoldMaterial type: TextTextPublication details: Berlin ; New York : Springer, ©2003Description: 486 pages : illustrationsISBN: 9783540030799; 3540030794 Subject(s): Multivariate analysisDDC classification: 519.535
Contents:
Comparison of batches -- A short excursion into matrix algebra -- Moving to higher dimensions -- Multivariate distributions -- Theory of estimation -- Hypothesis testing -- Composition of data matrices by factors -- Principal components analysis -- Factor analysis -- Cluster analysis -- Discriminant analysis -- Correspondence analysis -- Canonical correlation analysis -- Multidimensional scaling -- Conjoint measurement analysis -- Applications in finance -- Highly interactive, computationally intensive techniques.
Summary: Presents the tools and concepts of multivariate data analysis with a strong focus on applications. This book describes the distributions of the involved variables in graphical techniques. It deals with multivariate random variables and presents distributions, estimators and tests for various practical situations.
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Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference 		Reference 519.535 HAR (Browse shelf(Opens below)) Available 011310
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Bibliography & Index

Comparison of batches --
A short excursion into matrix algebra --
Moving to higher dimensions --
Multivariate distributions --
Theory of estimation --
Hypothesis testing --
Composition of data matrices by factors --
Principal components analysis --
Factor analysis --
Cluster analysis --
Discriminant analysis --
Correspondence analysis --
Canonical correlation analysis --
Multidimensional scaling --
Conjoint measurement analysis --
Applications in finance --
Highly interactive, computationally intensive techniques.

Presents the tools and concepts of multivariate data analysis with a strong focus on applications. This book describes the distributions of the involved variables in graphical techniques. It deals with multivariate random variables and presents distributions, estimators and tests for various practical situations.

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