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Multivariate Statistics: Exercises and Solutions

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Multivariate Statistics: Exercises and Solutions Cover

 

Synopses & Reviews

Publisher Comments:

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 234 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 or XploRe languages. The corresponding libraries are downloadable from the Springer link web pages and from the author's home pages.

Synopsis:

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 234 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 or XploRe languages. The corresponding libraries are downloadable from the Springer link web pages and from the authora (TM)s home pages.

Synopsis:

An ideal text for undergraduates in disciplines related to economics, this book has been structured to allow students to work their way through a well formulated exploration of this core topic.

Synopsis:

The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three sections, this book has been structured to allow students in economics and finance to work their way through a well formulated exploration of this core topic. The first part of this book is devoted to graphical techniques. The second deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The final section contains a wide variety of exercises in applied multivariate data analysis.

Table of Contents

Comparison of Batches.- A Short Excursion Into Matrix Algebra.- Moving to Higher Dimensions.- Multivariate Distributions.- Theory of The Multinormal.- Theory of Estimation.- Hypothesis Testing.- Decomposition of Data Matrices by Factors.- Principal Components Analysis.- Factor Analysis.- Cluster Analysis.- Discriminate Analysis.- Correspondence Analysis.- Canonical Correlation Analysis.- Multidimensional Scaling.- Conjoint Measurement Analysis.- Applications in Finance.- Highly Interactive, Computationally Intensive Techniques.

Product Details

ISBN:
9780387707846
Author:
Hardle, Wolfgang
Publisher:
Springer
Author:
Hrdle, Wolfgang
Author:
Härdle, Wolfgang Karl
Author:
Hlavka, Zdenek
Author:
Karl, Wolfgang
Subject:
Number Systems
Subject:
Database Management - Database Mining
Subject:
Probability & Statistics - General
Subject:
Multivariate analysis
Subject:
Mathematics | Probability and Statistics
Subject:
Statistics
Subject:
Data analysis
Subject:
factor model
Subject:
Multivariate Distribution
Subject:
Multivariate Statistics
Subject:
principal component
Subject:
Statistical Theory and Methods
Subject:
Computational Mathematics and Numerical Analysis
Subject:
Visualization
Subject:
Data Mining and Knowledge Discovery
Subject:
Computational intelligence
Copyright:
Edition Description:
Book
Publication Date:
20070727
Binding:
TRADE PAPER
Language:
English
Illustrations:
Y
Pages:
382
Dimensions:
235 x 155 mm 538 gr

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Related Subjects

Computers and Internet » Computers Reference » General
Science and Mathematics » Mathematics » Foundations and Logic
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Introduction
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Multivariate Statistics: Exercises and Solutions New Trade Paper
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$77.50 In Stock
Product details 382 pages Springer - English 9780387707846 Reviews:
"Synopsis" by , 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 234 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 or XploRe languages. The corresponding libraries are downloadable from the Springer link web pages and from the authora (TM)s home pages.
"Synopsis" by , An ideal text for undergraduates in disciplines related to economics, this book has been structured to allow students to work their way through a well formulated exploration of this core topic.
"Synopsis" by , The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three sections, this book has been structured to allow students in economics and finance to work their way through a well formulated exploration of this core topic. The first part of this book is devoted to graphical techniques. The second deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The final section contains a wide variety of exercises in applied multivariate data analysis.
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