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

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 co...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Pinto da Costa, Joaquim (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:SpringerBriefs in Statistics,
Subjects:
Statistics .
Biometry.
Statistical Theory and Methods.
Biostatistics.
Online Access:Texto Completo
Table of Contents:
  • 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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