Visualizing Uncertainty: On Soyer's and Hogarth's 'The Illusion of Predictability: How Regression Statistics Mislead Experts'

S. Ziliak
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引用次数: 9

Abstract

This comment was prepared for the International Journal of Forecasting mini-symposium on the Soyer-Hogarth experiment. The experiment evaluates the ability of expert econometricians to make predictions based on commonly provided regression output. Visual displays of quantitative information, including simple plots of data, outperformed predictions based on R-squared, t-statistics, and other common diagnostics. Reliance on graphing - on the visualization of uncertainty - was suggested more than a century ago by Karl Pearson, a founding father of English language statistics. The results of the Soyer and Hogarth experiment, when combined with evidence produced by Ziliak and McCloskey (2008) and others, suggests that graphing and visualization should receive more attention and tests of statistical significance, less.
可视化不确定性:论Soyer和Hogarth的《可预测性的幻觉:回归统计如何误导专家》
这篇评论是为《国际预测杂志》关于索耶-霍加斯实验的小型研讨会准备的。该实验评估了专家计量经济学家根据通常提供的回归输出进行预测的能力。定量信息的可视化显示,包括简单的数据图,优于基于r平方、t统计和其他常见诊断的预测。一个多世纪前,英语统计学之父卡尔•皮尔森(Karl Pearson)提出了对图表的依赖,即对不确定性的可视化。Soyer和Hogarth实验的结果,结合Ziliak和McCloskey(2008)和其他人提供的证据,表明绘图和可视化应该得到更多的关注和统计显著性测试,而不是更多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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