Statistical Inference of Ratio Estimation under Adaptive Cluster Sampling
博士 === 國立成功大學 === 統計學系 === 102 === Adaptive cluster sampling is able to provide more efficient estimators of the population quantity of interest together with more abundant sampling yields compared to the conventional sampling designs when the population is a rare and clustered one. Various adaptive...
Main Authors: | Feng-MinLin, 林楓敏 |
---|---|
Other Authors: | Chang-Tai Chao |
Format: | Others |
Language: | en_US |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/24509336825530128551 |
Similar Items
-
Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks
by: Nipaporn Chutiman, et al.
Published: (2014-01-01) -
Statistical Inferences Through Choosing Sample Set Mapping
by: Hui-Ru Lin, et al.
Published: (2007) -
Sharpe Ratio Inference for Small Sample
by: Jun-Yu Chen, et al.
Published: (2016) -
Using adaptive cluster sampling based on order statistics for kriging estimation of heavy metal in soils
by: Rong-Fu Wu, et al.
Published: (2001) -
Statistical Inference for Binormal ROC Curves under a Density Ratio Model
by: He, Wencan
Published: (2016)