Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/35322
Title: | Simulating the study design in industrial studies. | Authors: | Dam, Nsoh Tanih | Advisors: | BRAEKERS, Roel | Issue Date: | 2021 | Publisher: | tUL | Abstract: | This study focuses on measuring the uncertainty around the estimate of the influence of temperature on the survival times for technical devices with small sample sizes. Industrial or technical devices are expensive, as a result their failure proves to be destructive and very expensive. Insufficient data arises since engineers cannot wait for large number of devices to fail before measuring the impact of temperature. As a result the estimate of the influence of temperature is sometimes not accurate and has large standard error. The aim of this project is to verify under which conditions the best estimate of the influence of temperature on these technical devices can be obtained. To provide a description of the uncertainty surrounding this estimate under different observational schemes or design. Finally, to analyze the accuracy of this estimate on the survival time in order to provide engineers with the most cost efficient study design. | Notes: | Master of Statistics and Data Science-Biostatistics | Document URI: | http://hdl.handle.net/1942/35322 | Category: | T2 | Type: | Theses and Dissertations |
Appears in Collections: | Master theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ee57adae-b524-4a9e-8064-7308766dd8f9.pdf | 1.18 MB | Adobe PDF | View/Open |
Page view(s)
102
checked on Nov 7, 2023
Download(s)
30
checked on Nov 7, 2023
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.