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 non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high 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 statistics-related 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 data-driven document-based 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 non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high 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 statistics-related 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 data-driven document-based 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
- 10.1007/978-3-030-26006-4
- 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
- 10.1007/978-3-030-26006-4
- 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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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Applied-multivariate-statistical-analysis/NTkT0ov2ZqQ/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Applied-multivariate-statistical-analysis/NTkT0ov2ZqQ/">Applied multivariate statistical analysis, Wolfgang Karl Härdle, Léopold Simar</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
