Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Groundwater data in this thesis, which is taken from the database of Sveriges Geologiska Undersökning, characterizes chemical and quantitative status of groundwater in Sweden. The data usually is recorded with only quantification limits when it is below certain values. Accordingly, this thesis is aiming at handling such kind of data. The thesis considers this topic by using the EM algorithm to get the results from maximum likelihood estimation. Consequently, estimations of distributions on censored data of trace elements are expounded on. Related simulations show that the estimation is acceptable.

Place, publisher, year, edition, pages
2012.
Keyword [en]
groundwater, left-censored data, the EM algorithm, maximum likelihood estimation
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-175833OAI: oai:DiVA.org:uu-175833DiVA: diva2:533235
Subject / course
Statistics
Educational program
Master Programme in Statistics
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Available from: 2012-06-25 Created: 2012-06-13 Last updated: 2012-06-25Bibliographically approved

Open Access in DiVA

fulltext(939 kB)438 downloads
File information
File name FULLTEXT01.pdfFile size 939 kBChecksum SHA-512
872994c0a6af7163746a6e7aca602eb3cc470b91777fb4b359f4be4d9785ae4a89c153f1bab163f1a4248c955efe2d205e51d246c7158227c7d7a45448ea35f2
Type fulltextMimetype application/pdf

By organisation
Department of Statistics
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 438 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 482 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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