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Rankings and Preferences = New Resul...
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Pinto da Costa, Joaquim.
Rankings and Preferences = New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Rankings and Preferences/ by Joaquim Pinto da Costa.
Reminder of title:
New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications /
Author:
Pinto da Costa, Joaquim.
Description:
X, 91 p. 12 illus., 4 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Statistics . -
Online resource:
https://doi.org/10.1007/978-3-662-48344-2
ISBN:
9783662483442
Rankings and Preferences = New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications /
Pinto da Costa, Joaquim.
Rankings and Preferences
New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications /[electronic resource] :by Joaquim Pinto da Costa. - 1st ed. 2015. - X, 91 p. 12 illus., 4 illus. in color.online resource. - SpringerBriefs in Statistics,2191-544X. - SpringerBriefs in Statistics,0.
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
Standard No.: 10.1007/978-3-662-48344-2doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Rankings and Preferences = New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications /
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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.
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