Statistical Methods for Ranking Data

• Main Authors: Alvo, Mayer (Author), Yu, Philip L.H (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Series: Frontiers in Probability and the Statistical Sciences
• Subjects: Statistics.; Data mining.; Statistical Theory and Methods.; Statistics, general.; Statistics and Computing/Statistics Programs.; Data Mining and Knowledge Discovery.

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...

Table of Contents:

• 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.