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比平均水平更好?我们何时可以说项目的子采样比统计摘要表示更好?

Better than average? When can we say that subsampling of items is better than statistical summary representations?

作者信息

Ariely Dan

机构信息

Duke University, 1 Towerview Road, Box 90120, Durham, NC 27708, USA.

出版信息

Percept Psychophys. 2008 Oct;70(7):1325-6; discussion 1335-6. doi: 10.3758/PP.70.7.1325.

DOI:10.3758/PP.70.7.1325
PMID:18927014
Abstract

Myczek and Simons (2008) have described a computational model that subsamples a few items from a set with high accuracy, showing that this approach can do as well as, or better than, a model that captures statistical representations of the set. Although this is an intriguing existence proof, some caution should be taken before we consider their approach as a model for human behavior. In particular, I propose that such simulation-based research should be based on a more expanded range of phenomena and that it should include more accurate representations of errors in judgments.

摘要

迈切克和西蒙斯(2008年)描述了一种计算模型,该模型能从一组数据中高精度地抽取少量样本,表明这种方法与捕捉该组数据统计表征的模型效果相当,甚至更好。尽管这是一个有趣的存在性证明,但在将他们的方法视为人类行为模型之前,应谨慎对待。特别是,我建议此类基于模拟的研究应基于更广泛的现象范围,并且应包括对判断误差更准确的表征。

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