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Why statistical testing and confidence intervals should not be used in comparative life cycle assessments based on Monte Carlo simulations
The International Journal of Life Cycle Assessment ( IF 4.9 ) Pub Date : 2020-10-06 , DOI: 10.1007/s11367-020-01827-4
Claudia von Brömssen , Elin Röös

In the last years, it has been suggested to use statistical inferential methods, such as hypothesis testing or confidence intervals, to compare different products, services, or systems within comparative life cycle assessments based on Monte Carlo simulation results. However, the use of statistical inferential methods in such settings is fundamentally incorrect and should not be continued. In this article, we explain why and look closer at some related topics.

中文翻译:

为什么不应该在基于蒙特卡罗模拟的比较生命周期评估中使用统计检验和置信区间

在过去几年中,有人建议使用统计推断方法,例如假设检验或置信区间,在基于蒙特卡罗模拟结果的比较生命周期评估中比较不同的产品、服务或系统。但是,在这种情况下使用统计推断方法从根本上是不正确的,不应继续使用。在本文中,我们解释了原因并仔细研究了一些相关主题。
更新日期:2020-10-06
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