Faculty of Graduate Studies and Research, University of Regina
Inconsistency of Statistical Tests to Discriminate Lifetime Distributions and lines of Indistinguishabilty in Uniform Metric
Abstract
dc:description.abstractThe lifetime of a product can be measured in miles, hours, cycles or any other metric that applies to the success of a particular product. The lifetime distribution method is widely used in the engineering and biomedical applications; In this thesis, I focus on the three most commonly used lifetime distributions: Gamma distribution, Weibull distribution, and Generalized Exponential distribution. Although all three distributions have successfully served as population models for evaluating the lifetime of product, they have different characteristics. Therefore, it is necessary to distinguish the correct model specifications in the lifetime analysis. My thesis investigates the inconsistency of the statistical test to discriminate between these lifetime distributions and lines of indistinguishability in the uniform metric.
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MSc)
- Level thesis:degree_level
- Master's
- Discipline thesis:degree_discipline
- Statistics
- Grantor dc:publisher
- Faculty of Graduate Studies and Research, University of Regina
- Year dc:date.issued
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Liu, Jingwen
- Advisors dc:contributor.advisor
-
- Volodin, Andrei
- Bae, Taehan
- Committee member dc:contributor.committeemember
-
- Camochan Naqvi, Sarah
Rights
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- OAI identifier oai:identifier
- oai:uregina.scholaris.ca:10294/9256