<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Applied Multivariate Statistical Analysis</title>
  </titleInfo>
  <name type="personal">
    <namePart>Härdle, Wolfgang Karl.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Simar, Léopold.</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">sz</placeTerm>
    </place>
    <dateIssued encoding="marc">2019</dateIssued>
    <edition>5th ed. 2015.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>xii, 558 p.: ill.; 25cm</extent>
  </physicalDescription>
  <abstract>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.</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">by Wolfgang Karl Härdle, Léopold Simar.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Economic theory</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Economics, Mathematical</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Statistics</topic>
  </subject>
  <subject>
    <topic>Statistics for Business, Management, Economics, Finance, Insurance</topic>
  </subject>
  <subject>
    <topic>Economic Theory/Quantitative Economics/Mathematical Methods</topic>
  </subject>
  <subject>
    <topic>Quantitative Finance</topic>
  </subject>
  <subject>
    <topic>Statistical Theory and Methods</topic>
  </subject>
  <classification authority="ddc" edition="23">330.015195 HAA</classification>
  <identifier type="isbn">9783030260057</identifier>
  <identifier type="lccn">2019748527</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">DLC</recordContentSource>
    <recordCreationDate encoding="marc">260128</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260128122236.0</recordChangeDate>
    <recordIdentifier source="BD-SyAU">saulb0010910</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
