Statistical methods for ranking data / Mayer Alvo, Philip L.H. Yu.

By: Contributor(s): Material type: TextTextSeries: Frontiers in probability and the statistical sciencesPublisher: New York : Springer, [2014]Copyright date: ♭2014Description: xi, 273 pages : illustrations (some color) ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781493914708 (alk. paper)
  • 1493914707 (alk. paper)
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • QA278.75 .A48 2014
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 three 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode
Books Books Kwara State University Library QA276.A49 2014 (Browse shelf(Opens below)) Available 013815-01
Books Books Kwara State University Library QA276.A49 2014 (Browse shelf(Opens below)) Available 013815-02

Includes bibliographical references (pages 261-270) and index.

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 three 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.

There are no comments on this title.

to post a comment.