Study of Outcome-Dependent Sampling Scheme on Heteroskedastic Data from Public Health Survey
碩士 === 國立陽明大學 === 公共衛生研究所 === 99 === Outcome-dependent sampling (ODS) design has been shown to have better performance in terms of coefficients estimation when sampling homoscedastic data via inverse probability weighting (IPW) method. In this study, we applied ODS method to sample heteroskedastic d...
Main Authors: | Shang-Yi Chen, 陳尚弋 |
---|---|
Other Authors: | Jeng-Min Chiou |
Format: | Others |
Language: | zh-TW |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/61354460771582677484 |
Similar Items
-
Heteroskedasticity-robust inference in finite samples
by: Palmer, Christopher, et al.
Published: (2016) -
Estimation of heteroskedastic limited dependent variable models
by: Donald, Stephen Geoffrey
Published: (2011) -
Essays on heteroskedasticity
by: da Glória Abage de Lima, Maria
Published: (2014) -
Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro
by: Daryanto, Ahmad
Published: (2020-12-01) -
The Hausman Test, and Some Alternatives, with Heteroskedastic Data
by: Chmelarova, Viera
Published: (2007)