Statistical methods for ranking data
By: Mayer Alvo, Philip L.H. Yu
Contributors: Yu, Philip. L. H., author
Series: Frontiers in Probability and the Statistical Sciences; Frontiers in probability and the statistical sciences
Publisher: Springer
Published: 2014
Place of publication: New York
Language: eng
Number of pages: 273
ISBN-13: 9781493914708; 9781493914715
Copyright date: 2014
Subjects: Ranking and selection (Statistics); Mathematical statistics; Data mining
Notes: Includes bibliographical references (pages 261-270) and index.
Table of contents: title: Introduction; title: Exploratory analysis of ranking data; title: Correlation analysis of paired ranking data; title: Testing for randomness, agreement, and interaction; title: Block designs; title: General theory of hypothesis testing; title: Testing for ordered alternatives; title: Probability models for ranking data; title: Probit models for ranking data; title: Decision three models for ranking data; title: Extension of distance-based models for ranking data; title: Appendix A: Ranking data sets; title: Appendix B: Limit theorems; title: Appendix C: Review on decision trees.