Why statistical testing and confidence intervals should not be used in comparative life cycle assessments based on Monte Carlo simulations

Sammanfattning

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.

Nyckelord

Statistical hypothesis testing; Inferential statistics; Monte Carlo simulations; Uncertainty; Paired simulations

Publicerad i

The International Journal of Life Cycle Assessment
2020, volym: 25, nummer: 11, sidor: 2101-2105
Utgivare: SPRINGER HEIDELBERG

SLU författare

• von Brömssen, Claudia

  • Institutionen för energi och teknik, Sveriges lantbruksuniversitet
    

• Röös, Elin

  • Institutionen för energi och teknik, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Sannolikhetsteori och statistik

Publikationens identifierare

• DOI: https://doi.org/10.1007/s11367-020-01827-4

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/108256