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Applied multivariate statistical analysis

By: Hardle,WolfgangContributor(s): Simar, LeopoldMaterial type: Text

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	Main Library Reference	Reference	519.535 HAR (Browse shelf(Opens below))	Available		011310

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Previous	519.52076 SON Student solutions manual for Scheaffer, Mendenhall, and Ott's elementary survey sampling	519.53 NET Applied linear statistical models : regression, analysis of variance, and experimental designs	519.535 AGR Categorical data analysis	519.535 HAR Applied multivariate statistical analysis	519.535 JOH Applied Multivariate Statistical Analysis	519.536 APP Applied Regression Analysis	519.536 BIN Regression : linear models in statistics	Next

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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