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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pinto da Costa, Joaquim (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:SpringerBriefs in Statistics,
Temas:
Statistics .
Biometry.
Statistical Theory and Methods.
Biostatistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares