Applied Multivariate Statistical Analysis
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a n...
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2015
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oai:scholar.dlu.edu.vn:DLU123456789-583272023-11-11T06:08:43Z Applied Multivariate Statistical Analysis Härdle, Wolfgang Karl Simar, Léopold Quantitative Finance Insurance Mathematical Finance Economics Statistics for Business Multivariate analysis Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added. All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers’ preferences are collected in order to construct models of consumer behavior. All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. 2015-09-17T02:07:24Z 2015-09-17T02:07:24Z 2015 Book 978-3-662-45171-7 978-3-662-45170-0 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58327 en application/pdf Springer |
institution |
Thư viện Trường Đại học Đà Lạt |
collection |
Thư viện số |
language |
English |
topic |
Quantitative Finance Insurance Mathematical Finance Economics Statistics for Business Multivariate analysis |
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Quantitative Finance Insurance Mathematical Finance Economics Statistics for Business Multivariate analysis Härdle, Wolfgang Karl Simar, Léopold Applied Multivariate Statistical Analysis |
description |
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added. All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers’ preferences are collected in order to construct models of consumer behavior. All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. |
format |
Book |
author |
Härdle, Wolfgang Karl Simar, Léopold |
author_facet |
Härdle, Wolfgang Karl Simar, Léopold |
author_sort |
Härdle, Wolfgang Karl |
title |
Applied Multivariate Statistical Analysis |
title_short |
Applied Multivariate Statistical Analysis |
title_full |
Applied Multivariate Statistical Analysis |
title_fullStr |
Applied Multivariate Statistical Analysis |
title_full_unstemmed |
Applied Multivariate Statistical Analysis |
title_sort |
applied multivariate statistical analysis |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58327 |
_version_ |
1819848196090757120 |