Ties in Paired-Comparison Experiments: A Generalization of the Bradley-Terry Model
作者:
P.V. Rao,
L.L. Kupper,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1967)
卷期:
Volume 62,
issue 317
页码: 194-204
ISSN:0162-1459
年代: 1967
DOI:10.1080/01621459.1967.10482901
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The Bradley-Terry model for a paired-comparison experiment withttreatments postulates a set oft‘true’ treatment ratings π1, π2, · · ·, πtsuch that πi≥ 0, ∑ πi= 1 and the probability for preferring treatmentito treatmentjis πi(πi+ πj)−1. Thus, according to this model, every comparison of two treatments results in a definite preference for one of the two. This is an unrealistic restriction since when there is no difference between the responses due to two treatments, any method of expressing preference for one over the other is somewhat arbitrary. This paper considers a modification of the Bradley-Terry model by introducing an additional parameter, called threshold parameter, into the model. This permits ‘ties’ in the model. The problem of estimation and tests of hypotheses for the parameters of the modified model is also dealt with in the paper.
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