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Rankings and preferencesnew results ...

Costa, Joaquim Pinto da.

Rankings and preferencesnew results in weighted correlation and weighted principal component analysis with applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Rankings and preferencesby Joaquim Pinto da Costa.
Reminder of title:	new results in weighted correlation and weighted principal component analysis with applications /
Author:	Costa, Joaquim Pinto da.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
Description:	x, 91 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Correlation (Statistics)
Online resource:	http://dx.doi.org/10.1007/978-3-662-48344-2
ISBN:	9783662483442$q(electronic bk.)

Rankings and preferencesnew results in weighted correlation and weighted principal component analysis with applications /
Costa, Joaquim Pinto da.

Rankings and preferencesnew results in weighted correlation and weighted principal component analysis with applications /[electronic resource] :by Joaquim Pinto da Costa. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - x, 91 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..

Introduction -- The Weighted Rank Correlation Coefficient rW -- The Weighted Rank Correlation Coefficient rW2 -- A Weighted Principal Component Analysis, WPCA1: Application to Gene Expression Data -- A Weighted Principal Component Analysis (WPCA2) for Time Series Data -- Weighted Clustering of Time Series -- Appendix -- References.

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.

ISBN: 9783662483442$q(electronic bk.)

Standard No.: 10.1007/978-3-662-48344-2doiSubjects--Topical Terms:

230080
Correlation (Statistics)

LC Class. No.: HA31.3

Dewey Class. No.: 519.536

Rankings and preferencesnew results in weighted correlation and weighted principal component analysis with applications /
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520 $a 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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