Abstract/Details

A new statistical model combining strength and binary choice, with applications to paired comparison problems


2003 2003

Other formats: Order a copy

Abstract (summary)

Paired comparison experiments are frequently used to rank a set of items, such as a class of products in consumer preference studies or sports teams in athletic competitions. Most of the literature focuses on binary response models, which confine their attention to summarizing the preferences and ignore any supplementary information contained in the degree of preference. Models of this type include the well-known Bradley-Terry and Thurstone-Mosteller models.

In some experiments, however, there is more information at the analyst's disposal than merely which items are deemed preferable to which others. Usually this information is in the form of accrued scores or worth. Consequently, another approach, not well commented upon in the literature seeks to model these observed worths (usually considered latent to the binary response formulation) by estimating two merits for each item: one relating to its ability to accumulate worth in a competition, and one describing its ability to prevent its adversaries from accumulating worth against it. These dual merits may again be used to determine a rank order or predict the outcome of future comparisons.

Each of these model families has its deficiencies. While the binary class of ranking models ignores available worth information, the accumulated worth models decouple the observed worths and, in effect, ignore the determination of preference. These two paradigms are explored, and their virtues and shortcomings detailed. In conclusion, a new statistical model is proposed which overcomes the deficiencies of its predecessor. It can be viewed as a synthesis of the binary response and accumulated worth approaches, incorporating information of both types. Its improvement over existing methods is demonstrated through a simulation study and applied to real data in Chapter 5.

Indexing (details)


Subject
Statistics
Classification
0463: Statistics
Identifier / keyword
Pure sciences; Binary choice; Paired comparison; Ranking; Strength
Title
A new statistical model combining strength and binary choice, with applications to paired comparison problems
Author
Annis, David Hill
Number of pages
170
Publication year
2003
Degree date
2003
School code
0183
Source
DAI-B 65/02, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
Advisor
Craig, Bruce A.
University/institution
Purdue University
University location
United States -- Indiana
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3122816
ProQuest document ID
305314477
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/305314477/abstract
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.