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Multivariate statistics = exercises ...

Hardle, Wolfgang Karl.

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Multivariate statistics = exercises and solutions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multivariate statistics/ by Wolfgang Karl Hardle, Zdenek Hlavka.
Reminder of title:	exercises and solutions /
Author:	Hardle, Wolfgang Karl.
other author:	Hlavka, Zdenek.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	xxiv, 362 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Part I Descriptive Techniques: Comparison of Batches -- Part II Multivariate Random Variables: A Short Excursion into Matrix Algebra -- Moving to Higher -- Multivariate -- Theory of the Multinormal -- Theory of Estimation -- Part III Multivariate Techniques: Regression Models -- Variable Selection -- Decomposition of Data Matrices by Factors -- Principal Component 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 -- Data Sets -- References -- Index.
Contained By:	Springer eBooks
Subject:	Multivariate analysis. -
Online resource:	http://dx.doi.org/10.1007/978-3-642-36005-3
ISBN:	9783642360053 (electronic bk.)

Multivariate statistics = exercises and solutions /
Hardle, Wolfgang Karl.

Multivariate statisticsexercises and solutions /[electronic resource] :by Wolfgang Karl Hardle, Zdenek Hlavka. - 2nd ed. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xxiv, 362 p. :ill. (some col.), digital ;24 cm.

Part I Descriptive Techniques: Comparison of Batches -- Part II Multivariate Random Variables: A Short Excursion into Matrix Algebra -- Moving to Higher -- Multivariate -- Theory of the Multinormal -- Theory of Estimation -- Part III Multivariate Techniques: Regression Models -- Variable Selection -- Decomposition of Data Matrices by Factors -- Principal Component 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 -- Data Sets -- References -- Index.

The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All R codes and data sets may be downloaded via the quantlet download center www.quantlet.org or via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.

ISBN: 9783642360053 (electronic bk.)

Standard No.: 10.1007/978-3-642-36005-3doiSubjects--Topical Terms:

517467
Multivariate analysis.

LC Class. No.: QA278

Dewey Class. No.: 519.535

Multivariate statistics = exercises and solutions /
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100 1 $a Hardle, Wolfgang Karl. $3 1074092
245 1 0 $a Multivariate statistics $h [electronic resource] : $b exercises and solutions / $c by Wolfgang Karl Hardle, Zdenek Hlavka.
250 $a 2nd ed.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xxiv, 362 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Part I Descriptive Techniques: Comparison of Batches -- Part II Multivariate Random Variables: A Short Excursion into Matrix Algebra -- Moving to Higher -- Multivariate -- Theory of the Multinormal -- Theory of Estimation -- Part III Multivariate Techniques: Regression Models -- Variable Selection -- Decomposition of Data Matrices by Factors -- Principal Component 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 -- Data Sets -- References -- Index.
520 $a The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All R codes and data sets may be downloaded via the quantlet download center www.quantlet.org or via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.
650 0 $a Multivariate analysis. $3 517467
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 891040
650 2 4 $a Visualization. $3 586179
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Hlavka, Zdenek. $3 2156841
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-642-36005-3
950 $a Mathematics and Statistics (Springer-11649)