G5 Doctoral dissertation (article)
Improving statistical classification methods and ecological status assessment for river macroinvertebrates (2016)

Ärje, J. (2016). Improving statistical classification methods and ecological status assessment for river macroinvertebrates [Doctoral dissertation]. University of Jyväskylä. Report / University of Jyväskylä, Department of Mathematics and Statistics, 156. http://urn.fi/URN:ISBN:978-951-39-6707-9

JYU authors or editors

Publication details

All authors or editors: Ärje, Johanna

ISBN: 978-951-39-6706-2

Journal or series: Report / University of Jyväskylä, Department of Mathematics and Statistics

ISSN: 1457-8905

Publication year: 2016

Number in series: 156

Number of pages in the book: 30

Publisher: University of Jyväskylä

Place of Publication: Jyväskylä

Publication country: Finland

Publication language: English

Persistent website address: http://urn.fi/URN:ISBN:978-951-39-6707-9

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): http://urn.fi/URN:ISBN:978-951-39-6707-9

Additional information: Artikkeliväitöskirjan yhteenveto-osa ja 4 eripainosta. Myös Verkkoaineisto (yhteenveto-osa ja 3 eripainosta): ISBN 978-951-39-6707-9

Keywords: aquatic ecosystems; ecological status; zoobenthos; invertebrates; monitoring; automation; determination of species; statistical methods; Bayesian analysis; indexes (comparative figures); errors; error analysis; classification

Free keywords: aquatic ecosysytems; biomonitoring; curse of dimensionality; error propagation; benthic macroinvertebrates; biological indices

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2016

Preliminary JUFO rating: Not rated