國立高雄大學圖資館 |

Language: English

Back

Multivariate statisticsexercises and...

Hardle, Wolfgang Karl.

Multivariate statisticsexercises and solutions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multivariate statisticsby 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.
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 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 /
LDR:02627nmm a2200325 a 4500 001 471571
003 DE-He213
005 20160122113002.0
006 m d
007 cr nn 008maaau
008 160223s2015 gw s 0 eng d
020 $a 9783642360053 (electronic bk.)
020 $a 9783642360046 (paper)
024 7 $a 10.1007/978-3-642-36005-3 $2 doi
035 $a 978-3-642-36005-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA278
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.535 $2 23
090 $a QA278 $b .H264 2015
100 1 $a Hardle, Wolfgang Karl. $3 470603
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 181905
650 1 4 $a Statistics. $3 182057
650 2 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 274020
650 2 4 $a Visualization. $3 182994
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Computational Intelligence. $3 338479
700 1 $a Hlavka, Zdenek. $3 726894
710 2 $a SpringerLink (Online service) $3 273601
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)