Applied Multivariate Statistical Analysis

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  • Engels
  • Paperback
  • 9783642172281
  • 01 december 2011
  • 516 pagina's
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Samenvatting

Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets are observed simultaneously and their joint development is analysed to better understand general risk and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying data structure of these and many other quantitative studies of applied sciences is multivariate. Focusing on applications this book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who need to analyze statistical data. The book surveys the basic principles of multivariate statistical data analysis and emphasizes both exploratory and inferential statistics. All chapters have exercises that highlight applications in different fields. The third edition of this book on Applied Multivariate Statistical Analysis offers the following new features * A new Chapter on Regression Models has been added* All numerical examples have been redone, updated and made reproducible in MATLAB or R, see www.quantlet.org for a repository of quantlets.

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Inhoud

Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
01 december 2011
Aantal pagina's
516
Illustraties
Nee

Betrokkenen

Hoofdauteur
Wolfgang Karl Härdle
Tweede Auteur
Leopold Simar
Hoofduitgeverij
Mairdumont Gmbh & Co. Kg

Overige kenmerken

Editie
3rd Revised edition
Extra groot lettertype
Nee
Studieboek
Ja
Verpakking breedte
155 mm
Verpakking hoogte
30 mm
Verpakking lengte
235 mm
Verpakkingsgewicht
813 g

EAN

EAN
9783642172281

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