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Wissenschaftlicher Artikel

Date

2026

DOI

https://doi.org/10.60810/openumwelt-8687
'http://creativecommons.org/licenses/by-nc-nd/4.0/'

Statistical assessment of data sets for indoor air and house dust from the environmental survey GerES V using non-linear regression analysis, non-parametric methods and Monte-Carlo simulations

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Containing Item

Indoor Environments
3

Keywords

Environmental survey, Descriptive statistics, Lognormal distribution, Bootstrap, Confidence interval, Monte-Carlo simulation

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Research Indicator

Citation

Salthammer, T., Daniels, A., & Birmili, W. (2026). Statistical assessment of data sets for indoor air and house dust from the environmental survey GerES V using non-linear regression analysis, non-parametric methods and Monte-Carlo simulations. Indoor Environments, 3(2). https://doi.org/10.60810/openumwelt-8687

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2026-Statistical assessment of data sets for indoor air and house dust from the environmental survey GerES V.pdf (2.8 MB)

URI

https://openumwelt.de/handle/123456789/12120

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