liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Comparison of Methods for Normalisation and Trend Testing of Water Quality Data
Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Mathematics, Statistics .
2004 (English)In: The joint meeting of TIES 2004 and Accuracy 2004,2004, 2004Conference paper, Published paper (Other academic)
Abstract [en]

To correctlyassesstrends in water quality data, influencing variables suchasdischarge or temperature must betaken into account. This canbedone by using i one-step procedures like the PartialMann-KendallPMK test ormultiple regression, or ii two-steptechniques thatinclude a normalisation followed by a trend test ontheresiduals.Which approach is most appropriate depends strongly ontherelationship between the response variableunder considerationandthe influencing variables. For example, PMK tests can besuperiorif there are long andvarying time lags in the waterqualityresponse. Two-step procedures are particularly useful whentheshape of thetemporal trend is the primary interest, but they canbemisleading if one of the influencing variables itselfexhibitsatrend or long-term tendency. The present study discussestheadvantages and disadvantages of some trendtesting techniques,usingSwedish water quality data to illustrate the properties ofthemethods.

Place, publisher, year, edition, pages
2004.
Keyword [en]
long-term changes in covariate, non-monotonic changes, long memory effects, seasonal variation
National Category
Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-22685Local ID: 1977OAI: oai:DiVA.org:liu-22685DiVA: diva2:242998
Available from: 2009-10-07 Created: 2009-10-07

Open Access in DiVA

No full text

Authority records BETA

Libiseller, Claudia

Search in DiVA

By author/editor
Libiseller, Claudia
By organisation
Faculty of Arts and SciencesStatistics
Mathematics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 43 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf