Geographically weighted regression model-assisted estimation in survey sampling
Author:
Affiliation:
1. School of Mathematics and System Science, Beihang University, Beijing, People's Republic of China
2. Department of Statistics, School of Science, Minzu University of China, Beijing, People's Republic of China
Funder
National Natural Science Foundation of China
National Social Science Foundation of China
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10485252.2018.1499907
Reference29 articles.
1. Monte Carlo integration strategies for design-based regression estimators of the spatial mean
2. Model-assisted estimation for complex surveys using penalised splines
3. Local polynomial regresssion estimators in survey sampling
4. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity
5. Using regression models in design-based estimation of spatial means of soil properties
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