碩士 / 淡江大學 / 數學學系碩士班 / 101 / This thesis discusses the performances of different estimation methods in logistic regression model when covariates are subject to measurement errors. The efficiencies of different methods were evaluated through extensively simulation studies. These simulation studies were conducted under different distribution of covariates, samples size, values of regression parameter, the variance associated with measurement errors and the distribution of measurement errors. Conclusions based on the sample standard deviations were derived.
Identifer | oai:union.ndltd.org:TW/101TKU05479006 |
Date | January 2013 |
Creators | Hsu Chang, 張煦 |
Contributors | Yih-Huei Huang, 黃逸輝 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | zh-TW |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 40 |
Page generated in 0.0113 seconds