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存在线性趋势时有限总体均值的最优估计
Postulating different superpopulation models for a finite population with linear trend, we suggest optimal sampling strategies for estimating the finite population mean within some classes of unbiased strategies.
存在线性趋势时有限总体均值的最优估计
Postulating different superpopulation models for a finite population with linear trend, we suggest optimal sampling strategies for estimating the finite population mean within some classes of unbiased strategies.
一般相关模型下有限总体总量的最优估计
Restricting attention to fixed size sampling designs and linear unbiased estimators of a finite population total, we give methods for finding estimators with minimum model expected variance and the optimal strategy under a general correlated superpopulation model. Some techniques popular in the theory of optimal experiments help in the derivation. Several earlier optimality results are deduced as special cases.
一般相关模型下有限总体总量的最优估计
Restricting attention to fixed size sampling designs and linear unbiased estimators of a finite population total, we give methods for finding estimators with minimum model expected variance and the optimal strategy under a general correlated superpopulation model. Some techniques popular in the theory of optimal experiments help in the derivation. Several earlier optimality results are deduced as special cases.