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Stratification, Sampling and Estimation: Finding the best design for the Swedish Investment Survey
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2013 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Stratifiering, sampling och estimering: Vilken design passar bäst för Investeringsenkäten? (Swedish)
Abstract [en]

In this thesis, different methods are used to investigate the best design for the Swedish Investment Survey. The methods used today are stratify on number of employees, Neyman-allocation, STSRS-sampling and HT-estimation. The alternative methods in this thesis are stratify on turnover, -sampling and GREG-estimation. These methods are combined into eight combinations and tested on the enterprises and their investments in the Swedish energy domains. The conclusion is that changing the design to stratify on turnover, -sampling and GREG-estimation will provide a smaller standard deviation in most of the energy domains.

Place, publisher, year, edition, pages
2013. , 38 p.
Keyword [en]
sampling design, stratified simple random sampling without replacement (STSRS), probability proportional to size without replacement, Neyman allocation, Horvitz-Thompson estimation, generalised regression estimation (GREG), standard deviation, Swedish Investment Survey
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:su:diva-90970OAI: oai:DiVA.org:su-90970DiVA: diva2:629100
Supervisors
Examiners
Available from: 2013-06-27 Created: 2013-06-16 Last updated: 2013-06-27Bibliographically approved

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CiteExportLink to record
Permanent link

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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