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An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data
利用调查与卫星数据预测县级作物面积的误差分量模型
Knowledge of the area under different crops is important to the U.S. Department of Agriculture. Sample surveys have been designed to estimate crop areas for large regions, such as crop-reporting districts, individual states, and the United States as a whole. Predicting crop areas for small areas such as counties has generally not been attempted, due to a lack of available data from farm surveys for these areas. The use of satellite data in association with farm-level survey…
Estimation of linear models with crossed-error structure
Transformations for Estimation of Linear Models with Nested-Error Structure
嵌套误差线性模型估计的变换方法
Two linear models with error structure of the nested type are considered. Transformations are presented by which uncorrelated errors with constant variances are obtained. The transformed observations are differences between the original observations and multiples of averages of subsets of the observations. The transformations permit the calculation of the generalized least-squares estimators and their covariance matrices by ordinary least-squares regression. Regression-type…