ENGLISH

Rankings and Preferences: New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications

By Joaquim Pinto da Costa (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2015
ISBN
978-3-662-48343-5, 978-3-662-48344-2
DOI
10.1007/978-3-662-48344-2
Language
english
Format
PDF
Filesize
2 MB (1963585 bytes)
Series
SpringerBriefs in Statistics
Edition
1
Pages
X, 91\95
Topic
Mathematics\\Mathematicsematical Statistics
Time added
2015-11-25 16:51:03
Health Sciences; BiostatisticsMedicineStatistical Theory and Methods; Statistics for Lif

Description

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.

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