GAUSSIAN PAIRED-COMPARISON MODELS

被引：1
|
作者：
PULKKINEN, U
机构：
[1] Technical Research Centre of Finland, Laboratory of Electrical and Automation Engineering, 02151 Espoo, Otakaari 7B
来源：
RELIABILITY ENGINEERING & SYSTEM SAFETY | 1994年 / 44卷 / 02期
关键词：
D O I：
10.1016/0951-8320(94)90012-4
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Bayesian paired comparison models based on the Gaussian additive error models for the use of expert judgements are formulated. Some limiting properties of the models are investigated. It is observed that the posterior variance cannot be made arbitrarily small by increasing the number of experts. The posterior distributions are determined by using the Gibbs sampler, and numerical examples are discussed. The value of information lost in the paired comparison process is analysed from the Bayesian point of view.
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页码：207 / 217
页数：11
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