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SpringerBriefs in Statistics

Rankings and Preferences

New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications

Authors: Pinto da Costa, Joaquim

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  • Numerous applications help the reader to learn quickly
  • Contains two special chapters on two very popular weighted correlation coefficients
  • Describes an easy way of using weighted correlation with already existing statistical software
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  • ISBN 978-3-662-48344-2
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About this book

This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the domain of time series. In this book we present new weighted correlation coefficients and new methods of weighted principal component analysis.

We also introduce new methods of dimension reduction and clustering for time series data and describe some theoretical results on the weighted correlation coefficients in separate sections.

About the authors

Joaquim Pinto da Costa received his first degree in Applied Mathematics from Porto Universitiy (Portugal), his M. Sc. degree in Applied Statistics from Oxford University and his Ph.D. degree in Applied Mathematics from University of Rennes II (France). Since 199, he is Assistant Professor at the Mathematics Department of Porto University. His research interests include Statistics, Statistical Learning Theory, Pattern Recognition, Discriminant Analysis and Clustering, Data Analysis, Neural Networks, SVMs and Machine Learning.

Reviews

“This book describes newly developed methods of weighted correlation by the author and his collaborators. … This book is useful for those who want to learn a series of studies on weighted correlations by the author and his collaborators.” (Hidehiko Kamiya, Mathematical Reviews, August, 2016)


Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-662-48344-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-662-48343-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Rankings and Preferences
Book Subtitle
New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications
Authors
Series Title
SpringerBriefs in Statistics
Copyright
2015
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Author(s)
eBook ISBN
978-3-662-48344-2
DOI
10.1007/978-3-662-48344-2
Softcover ISBN
978-3-662-48343-5
Series ISSN
2191-544X
Edition Number
1
Number of Pages
X, 91
Number of Illustrations
8 b/w illustrations, 4 illustrations in colour
Topics

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