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Why statistical testing and confidence intervals should not be used in comparative life cycle assessments based on Monte Carlo simulations
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- Von Brömssen, Claudia (author)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för energi och teknik,Department of Energy and Technology
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- Röös, Elin (author)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för energi och teknik,Department of Energy and Technology
- (creator_code:org_t)
- 2020-10-06
- 2020
- English.
- In: The International Journal of Life Cycle Assessment. - : Springer Science and Business Media LLC. - 0948-3349 .- 1614-7502. ; 25, s. 2101-2105
- Journal article (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
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- ref (subject category)
- art (subject category)
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