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
We consider the problem of construction of optimal experimental designs for linear regression models...
Godambe (1955) give a general finite population sampling model and proved that a best linear unbiase...
The sampling strategy that couples probability proportional-to-size sampling with the GREG estimator...
Restricting attention to fixed size sampling designs and linear unbiased estimators of a finite popu...
Sampling from a finite population with correlated units is addressed. The proposed methodology appli...
In model based sampling for finite populations it is known that, provided a certain variance conditi...
Using two-phase sampling scheme, we propose a general class of estimators for finite population mean...
This paper considers the problem of estimating a finite population mean in the presence of linear tr...
Abstract. Minimum mean squared error linear unbiased estimation of the total of a nite population i...
A method for constructing the best unbiased predictors in finite populations are stated by using th...
In this paper we propose a general approh for estimating a finite population parameter in double sam...
We consider the problem of optimal design of experiments for random-effects models, especially popul...
We consider the problem of constructing optimal designs for population pharmacokinetics which use ra...
This paper attempts to fill the gap between some different and conflicting approaches in survey samp...
Godambe (1955) give a general finite population sampling model and proved that a best linear unbiase...
We consider the problem of construction of optimal experimental designs for linear regression models...
Godambe (1955) give a general finite population sampling model and proved that a best linear unbiase...
The sampling strategy that couples probability proportional-to-size sampling with the GREG estimator...
Restricting attention to fixed size sampling designs and linear unbiased estimators of a finite popu...
Sampling from a finite population with correlated units is addressed. The proposed methodology appli...
In model based sampling for finite populations it is known that, provided a certain variance conditi...
Using two-phase sampling scheme, we propose a general class of estimators for finite population mean...
This paper considers the problem of estimating a finite population mean in the presence of linear tr...
Abstract. Minimum mean squared error linear unbiased estimation of the total of a nite population i...
A method for constructing the best unbiased predictors in finite populations are stated by using th...
In this paper we propose a general approh for estimating a finite population parameter in double sam...
We consider the problem of optimal design of experiments for random-effects models, especially popul...
We consider the problem of constructing optimal designs for population pharmacokinetics which use ra...
This paper attempts to fill the gap between some different and conflicting approaches in survey samp...
Godambe (1955) give a general finite population sampling model and proved that a best linear unbiase...
We consider the problem of construction of optimal experimental designs for linear regression models...
Godambe (1955) give a general finite population sampling model and proved that a best linear unbiase...
The sampling strategy that couples probability proportional-to-size sampling with the GREG estimator...