论文标题
小面积双变量参数的经验最佳预测
Empirical best prediction of small area bivariate parameters
论文作者
论文摘要
本文通过假设目标单位级别向量遵循双变量嵌套的误差回归模型，从而介绍了小面积双变量参数（如总和比率）（例如总和的比率）的经验最佳预测指标。相应的均值平方误差是通过参数bootstrap估算的。几个模拟实验从经验上研究了引入的统计方法的行为。对西班牙家庭预算调查的真实数据的申请，可以估算各省食品家庭支出比率。
This paper introduces empirical best predictors of small area bivariate parameters, like ratios of sums or sums of ratios, by assuming that the target unit-level vector follows a bivariate nested error regression model. The corresponding means squared errors are estimated by parametric bootstrap. Several simulation experiments empirically study the behavior of the introduced statistical methodology. An application to real data from the Spanish household budget survey gives estimators of ratios of food household expenditures by provinces.
