A1 Journal article (refereed)
Understanding the statistical properties of the percent model affinity index can improve biomonitoring related decision making (2016)
Ärje, J., Choi, K.-P., Divino, F., Meissner, K., & Kärkkäinen, S. (2016). Understanding the statistical properties of the percent model affinity index can improve biomonitoring related decision making. Stochastic Environmental Research and Risk Assessment, 30(7), 1981-2008. https://doi.org/10.1007/s00477-015-1202-6
JYU authors or editors
Publication details
All authors or editors: Ärje, Johanna; Choi, Kwok-Pui; Divino, Fabio; Meissner, Kristian; Kärkkäinen, Salme
Journal or series: Stochastic Environmental Research and Risk Assessment
ISSN: 1436-3240
eISSN: 1436-3259
Publication year: 2016
Volume: 30
Issue number: 7
Pages range: 1981-2008
Publisher: Springer Berlin Heidelberg
Publication country: Germany
Publication language: English
DOI: https://doi.org/10.1007/s00477-015-1202-6
Publication open access: Not open
Publication channel open access:
Keywords: decision making
Free keywords: biomonitoring; percent model affinity index; similarity measure; statistical properties
Contributing organizations
Related projects
- Advanced Computational and Statistical Techniques for Biomonitoring and Aquatic Ecosystem Service Management
- Kärkkäinen, Salme
- Research Council of Finland
Ministry reporting: Yes
Reporting Year: 2016
JUFO rating: 1