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

• Κύριος συγγραφέας: Pinto da Costa, Joaquim (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: SpringerBriefs in Statistics,
• Θέματα: Statistics.; Biostatistics.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.

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...

Πίνακας περιεχομένων:

• 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.