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An adjusted parameter estimation for spatial regression with spatial confounding
Yung Huei Chiou, Hong Ding Yang,
Chun Shu Chen
統計研究所
研究成果
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雜誌貢獻
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期刊論文
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引文 斯高帕斯（Scopus）
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Keyphrases
Parameter Estimation
100%
Spatial Confounding
100%
Spatial Regression
100%
Adjusting Parameters
100%
Random Process
100%
Environmental Data
50%
Proposed Methodology
50%
Spatial Regression Model
50%
Water Acidity
50%
Simulation Study
50%
Statistical Inference
50%
Collinearity
50%
Regression Coefficient
50%
Frequentist
50%
Generalized Least Squares Estimator
50%
Regression Parameters
50%
Least Square Estimation Method
50%
Bayesian Framework
50%
Blue Ridge
50%
Eastern USA
50%
Ecological Data
50%
Spatial Support
50%
Restricted Spatial Regression
50%
Computer Science
Environmental Data
100%
Least Squares Method
100%
Parameter Estimation
100%
Conventional Method
100%
Simulation Study
100%
Estimation Method
100%
Regression Parameter
100%
Spatial Support
100%
Bayesian Framework
100%
Regression Coefficient
100%
Generalized Least Squares
100%
Mathematics
Confounding
100%
Covariate
100%
Parameter Estimation
100%
Random Process
66%
Bayesian
33%
Regression Model
33%
Simulation Study
33%
Inferential Statistics
33%
Estimation Method
33%
Least Square Estimation
33%
Frequentist
33%
Generalized Least Squares
33%
Regression Parameter
33%
Blue Ridge
33%
Regression Coefficient Estimate
33%
Collinearity
33%
Earth and Planetary Sciences
Parameter Estimation
100%
Random Process
100%
Estimation Method
50%
United States of America
50%
Environmental Data
50%
Regression Coefficient
50%