The Resource Applied multivariate statistical analysis, Wolfgang Karl Härdle, Léopold Simar
Applied multivariate statistical analysis, Wolfgang Karl Härdle, Léopold Simar
Resource Information
The item Applied multivariate statistical analysis, Wolfgang Karl Härdle, Léopold Simar represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Applied multivariate statistical analysis, Wolfgang Karl Härdle, Léopold Simar represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 "This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for nonmathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultrahigh dimensions and represent a number of major fields in big data analysis. For this new edition, the book has been updated and extensively revised and now includes an extended chapter on cluster analysis. All solutions to the exercises are supplemented by R and MATLAB or SAS computer code and can be downloaded from the Quantlet platform. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Härdle and Z. Hlávka: Multivariate Statistics  Exercises and Solutions. The Quantlet platform, quantlet.de, quantlet.com, quantlet.org, is an integrated QuantNet environment consisting of different types of statisticsrelated documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding datadriven documentbased visualization allow readers to reproduce the tables, pictures and calculations presented in this Springer book."
 Language
 eng
 Edition
 Fifth edition.
 Extent
 1 online resource (xii, 558 pages)
 Note
 Includes index
 Contents

 Descriptive techniques. Comparison of batches. Multivariate random variables. A short excursion into matrix algebra
 Moving to higher dimensions
 Multivariate distributions
 Theory of the multinormal
 Theory of estimation
 Hypothesis testing
 Multivariate techniques. Regression models
 Variable selection
 Decomposition 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
 Computationally intensive techniques
 Appendix. Symbols and notations
 Data
 Isbn
 9783030260064
 Label
 Applied multivariate statistical analysis
 Title
 Applied multivariate statistical analysis
 Statement of responsibility
 Wolfgang Karl Härdle, Léopold Simar
 Subject

 Economics, Mathematical
 Economics, Mathematical
 Multivariate analysis
 Quantitative Finance
 Statistical Theory and Methods
 Statistics
 Statistics
 Statistics for Business, Management, Economics, Finance, Insurance
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Economic Theory/Quantitative Economics/Mathematical Methods
 Economics
 Economics
 Language
 eng
 Summary
 "This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for nonmathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultrahigh dimensions and represent a number of major fields in big data analysis. For this new edition, the book has been updated and extensively revised and now includes an extended chapter on cluster analysis. All solutions to the exercises are supplemented by R and MATLAB or SAS computer code and can be downloaded from the Quantlet platform. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Härdle and Z. Hlávka: Multivariate Statistics  Exercises and Solutions. The Quantlet platform, quantlet.de, quantlet.com, quantlet.org, is an integrated QuantNet environment consisting of different types of statisticsrelated documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding datadriven documentbased visualization allow readers to reproduce the tables, pictures and calculations presented in this Springer book."
 Assigning source
 ProQuest Ebook Central resource page, viewed June 8, 2021
 Cataloging source
 UPM
 http://library.link/vocab/creatorName
 Härdle, Wolfgang
 Dewey number
 519.5
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA278
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName
 Simar, Léopold
 http://library.link/vocab/subjectName

 Multivariate analysis
 Statistics
 Economics, Mathematical
 Economics
 Statistical Theory and Methods
 Statistics for Business, Management, Economics, Finance, Insurance
 Quantitative Finance
 Economic Theory/Quantitative Economics/Mathematical Methods
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Economics
 Economics, Mathematical
 Statistics
 Label
 Applied multivariate statistical analysis, Wolfgang Karl Härdle, Léopold Simar
 Note
 Includes index
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Descriptive techniques. Comparison of batches. Multivariate random variables. A short excursion into matrix algebra  Moving to higher dimensions  Multivariate distributions  Theory of the multinormal  Theory of estimation  Hypothesis testing  Multivariate techniques. Regression models  Variable selection  Decomposition 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  Computationally intensive techniques  Appendix. Symbols and notations  Data
 Control code
 1134692969
 Dimensions
 unknown
 Edition
 Fifth edition.
 Extent
 1 online resource (xii, 558 pages)
 File format
 multiple file formats
 Form of item
 online
 Isbn
 9783030260064
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783030260064
 Other physical details
 illustrations (some color)
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1134692969
 Label
 Applied multivariate statistical analysis, Wolfgang Karl Härdle, Léopold Simar
 Note
 Includes index
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Descriptive techniques. Comparison of batches. Multivariate random variables. A short excursion into matrix algebra  Moving to higher dimensions  Multivariate distributions  Theory of the multinormal  Theory of estimation  Hypothesis testing  Multivariate techniques. Regression models  Variable selection  Decomposition 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  Computationally intensive techniques  Appendix. Symbols and notations  Data
 Control code
 1134692969
 Dimensions
 unknown
 Edition
 Fifth edition.
 Extent
 1 online resource (xii, 558 pages)
 File format
 multiple file formats
 Form of item
 online
 Isbn
 9783030260064
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783030260064
 Other physical details
 illustrations (some color)
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1134692969
Subject
 Economics, Mathematical
 Economics, Mathematical
 Multivariate analysis
 Quantitative Finance
 Statistical Theory and Methods
 Statistics
 Statistics
 Statistics for Business, Management, Economics, Finance, Insurance
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Economic Theory/Quantitative Economics/Mathematical Methods
 Economics
 Economics
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