Evaluating Adaptive Paired Comparison Experiments
Tomomichi Suzuki (),
Seiichi Yasui and
Yoshikazu Ojima
Additional contact information
Tomomichi Suzuki: Tokyo University of Science, Department of Industrial Administration
Seiichi Yasui: Tokyo University of Science, Department of Industrial Administration
Yoshikazu Ojima: Tokyo University of Science, Department of Industrial Administration
A chapter in Frontiers in Statistical Quality Control 9, 2010, pp 341-350 from Springer
Abstract:
Summary Paired comparison experiments are effective tools when the characteristics of the objects cannot be measured directly. In paired comparison experiments the characteristics of the objects are estimated from the result of the comparisons. The concept of paired comparison experiments was introduced by Thurstone (1927). The method by Scheffé (1952) is widely used for complete paired comparison experiments and the method by Bradley and Terry (1952) is popularly used in incomplete paired comparison experiments. In incomplete paired comparison experiments, the design of the experiment, that is, how to form the pairs to be compared, is crucial to successful analysis. Many methods including adaptive experimental designs are proposed. The tournament systems in sports and other competitions are typical examples of such designs, but their statistical properties are not fully investigated. In this paper, we discuss how tournament systems may be evaluated and propose a new criterion. We also give examples of evaluating tournaments based on the proposed criterion.
Keywords: Pairing System; Strong Player; Paired Comparison Method; Round Robin Tournament; Winning Percentage (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2380-6_22
Ordering information: This item can be ordered from
http://www.springer.com/9783790823806
DOI: 10.1007/978-3-7908-2380-6_22
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().