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Testing For Normality of Censored Data
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In order to make statistical inference, that is drawing conclusions from a sample to describe a population, it is crucial to know the correct distribution of the data. This paper focused on censored data from the normal distribution. The purpose of this paper was to answer whether we can test if data comes from a censored normal distribution. This by using normality tests and tests designed for censored data and investigate if we got correct size of these tests. This has been carried out with simulations in the program R for left censored data. The results indicated that with increasing censoring normality tests failed to accept normality in a sample. On the other hand the censoring tests met the requirements with increasing censoring level, which was the most important conclusion in this paper. 

Place, publisher, year, edition, pages
2015. , 21 p.
Keyword [en]
Censored data, normality test, Cramer-von Mises test statistic, Anderson-Darling test statistic, testing for normality
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-253889OAI: oai:DiVA.org:uu-253889DiVA: diva2:816450
Subject / course
Statistics
Presentation
2015-06-02, B159, Ekonomikum, Kyrkogårdsg 10, Uppsala, 12:16 (Swedish)
Supervisors
Examiners
Available from: 2015-06-18 Created: 2015-06-03 Last updated: 2015-06-18Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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