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Multivariate statisticsexercises and...

Hardle, Wolfgang Karl.

Multivariate statisticsexercises and solutions /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multivariate statisticsby Wolfgang Karl Hardle, Zdenek Hlavka.
其他題名:	exercises and solutions /
作者:	Hardle, Wolfgang Karl.
其他作者:	Hlavka, Zdenek.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
面頁冊數:	xxiv, 362 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Multivariate analysis.
電子資源:	http://dx.doi.org/10.1007/978-3-642-36005-3
ISBN:	9783642360053 (electronic bk.)

Multivariate statisticsexercises 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:

181905
Multivariate analysis.

LC Class. No.: QA278

Dewey Class. No.: 519.535

Multivariate statisticsexercises and solutions /
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245 1 0 $a Multivariate statistics $h [electronic resource] : $b exercises and solutions / $c by Wolfgang Karl Hardle, Zdenek Hlavka.
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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.
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