Statistical Methods for Ranking Data

This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Alvo, Mayer (Autor), Yu, Philip L.H (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Frontiers in Probability and the Statistical Sciences,
Temas:
Statistics .
Mathematical statistics > Data processing.
Data mining.
Statistical Theory and Methods.
Statistics.
Statistics and Computing.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Exploratory Analysis of Ranking Data
  • Correlation Analysis of Paired Ranking Data
  • Testing for randomness, agreement and interaction
  • Block Designs
  • General Theory of Hypothesis Testing
  • Testing for Ordered Alternatives
  • Probability Models for Ranking Data
  • Probit Models for Ranking Data
  • Decision Tree Models for Ranking Data
  • Extension of Distance-Based Models for Ranking Data
  • Appendix A: Ranking Data Sets
  • Appendix B: Limit Theorems
  • Appendix C: Review on Decision Trees.

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