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|a 300.727
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|a Härdle, Wolfgang Karl.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Applied Multivariate Statistical Analysis
|h [electronic resource] /
|c by Wolfgang Karl Härdle, Léopold Simar.
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|a 4th ed. 2015.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2015.
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|a XIII, 580 p. 221 illus., 83 illus. in color.
|b online resource.
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|a I Descriptive Techniques: Comparison of Batches -- II Multivariate Random Variables: A Short Excursion into Matrix Algebra -- Moving to Higher Dimensions -- Multivariate Distributions -- Theory of the Multinormal -- Theory of Estimation -- Hypothesis Testing -- III 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 -- IV Appendix: Symbols and Notations -- Data.
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|a 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. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.
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|a Statistics .
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|a Social sciences-Mathematics.
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|a Econometrics.
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|a Statistics in Business, Management, Economics, Finance, Insurance.
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|a Mathematics in Business, Economics and Finance.
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|a Quantitative Economics.
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|a Statistical Theory and Methods.
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|a Simar, Léopold.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783662451700
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|i Printed edition:
|z 9783662451724
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|u https://doi.uam.elogim.com/10.1007/978-3-662-45171-7
|z Texto Completo
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|a ZDB-2-SMA
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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