Empirical formula for creating error bars for the method of paired comparison

Empirical formula for creating error bars for the method of paired comparison
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DOI:
10.1117/1.2181547
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发表时间:
2006-01-01
影响因子:
1.1
通讯作者:
Montag, ED
Montag, ED
中科院分区:
计算机科学4区
文献类型:
--
作者:
Montag, ED

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基于瑟斯顿比较判断定律的案例 V 的配对比较方法通常用作心理物理学方法,以得出成像应用中感知质量的区间尺度。然而,确定显着差异的置信区间和临界距离的方法一直难以捉摸,导致一些人放弃瑟斯顿公式提供的简单分析。为了导出确定误差的经验公式,进行了配对比较实验的蒙特卡罗模拟。结果表明,实验结果分布的变化可以很好地预测为刺激数量和观察数量的函数。利用这些结果,可以使用传统的统计方法进行比较的置信区间和临界值。 (c) 2006 年 SPIE 和 IS&T。
The method of paired comparison based on Thurstone's case V of his law of comparative judgments is often used as a psychophysical method to derive interval scales of perceptual qualities in imaging applications. However, methods for determining confidence intervals and critical distances for significant differences have been elusive, leading some to abandon the simple analysis provided by Thurstone's formulation. Monte Carlo simulations of paired comparison experiments were performed in order to derive an empirical formula for determining error. The results show that the variation in the distribution of experimental results can be well predicted as a function of stimulus number and the number of observations. Using these results, confidence intervals and critical values for comparisons can be made using traditional statistical methods. (c) 2006 SPIE and IS&T.