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Estimation and Testing the Quotient of Two Models
Mälardalen University, School of Education, Culture and Communication.
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesisAlternative title
Uppskattning och testning av kvoten av två modeller (Swedish)
Abstract [en]

In the thesis, we introduce linear regression models such as Simple Linear Regression, Multiple Regression, and Polynomial Regression. We explain basic methods of the model parameters estimation, Ordinary Least Squares (OLS) and Maximum Likelihood Estimation (MLE). The properties of the estimates, and what assumptions need to be made for the model for the estimates to be the Best Linear Unbiased Estimates (BLUE) are given. The basic Bootstrap methods are introduced. The real world problem is simulated in order to see how measurement error affects the quotient of two estimated models.

Place, publisher, year, edition, pages
2018. , p. 59
Series
Master thesis in Mathematics/Applied Mathematics
Keywords [en]
Estimation, parameters, quotient, models. testing
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-39532OAI: oai:DiVA.org:mdh-39532DiVA, id: diva2:1213371
Subject / course
Mathematics/Applied Mathematics
Presentation
2018-06-01, Hilbert room, HÖGSKOLEPLAN 1, 721 23 Västerås, Västerås, 16:49 (English)
Supervisors
Examiners
Available from: 2018-06-07 Created: 2018-06-04 Last updated: 2018-06-08Bibliographically approved

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Dimitrov, Marko
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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