Testing For Normality of Censored Data
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
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.
Censored data, normality test, Cramer-von Mises test statistic, Anderson-Darling test statistic, testing for normality
Probability Theory and Statistics
IdentifiersURN: urn:nbn:se:uu:diva-253889OAI: oai:DiVA.org:uu-253889DiVA: diva2:816450
Subject / course
2015-06-02, B159, Ekonomikum, Kyrkogårdsg 10, Uppsala, 12:16 (Swedish)
Thulin, Måns, Universitetslektor
Perlinger, Thommy, Universitetslektor