Minimum variance unbiased predictors of the mean vector and covariance matrix of a finite population are obtained under the assumption that the population values obey a given linear model. An example is given of stratified sampling
Strategies are compared for the development of a linear regression model with stochastic (multivaria...
Graduation date: 1981The problem of predicting variate values for all individual units\ud in a finit...
A method for constructing the best unbiased predictors in finite populations are stated by using th...
A number of interesting problems in the design of experiments such as sensor allocation, selection o...
This note shows that under the assumption of a Gaussian superpopulation model with a general symmetr...
AbstractAssuming a general linear model with known covariance matrix, several linear and nonlinear p...
In this article we study the use of the sample distribution for the prediction of finite population ...
AbstractAssuming a general linear model with known covariance matrix, several linear and nonlinear p...
AbstractThis paper deals with the problem of Stein-rule prediction in a general linear model. Our st...
This article studies the use of the sample distribution for the prediction of finite population tota...
The multivariate mixed linear model or multivariate components of variance model with equal replicat...
In this article, we consider the optimal prediction of the finite population distribution function u...
AbstractAdmissible prediction problems in finite populations with arbitrary rank under matrix loss f...
The multivariate mixed linear model or multivariate components of variance model with equal replicat...
The multivariate mixed linear model or multivariate components of variance model with equal replicat...
Strategies are compared for the development of a linear regression model with stochastic (multivaria...
Graduation date: 1981The problem of predicting variate values for all individual units\ud in a finit...
A method for constructing the best unbiased predictors in finite populations are stated by using th...
A number of interesting problems in the design of experiments such as sensor allocation, selection o...
This note shows that under the assumption of a Gaussian superpopulation model with a general symmetr...
AbstractAssuming a general linear model with known covariance matrix, several linear and nonlinear p...
In this article we study the use of the sample distribution for the prediction of finite population ...
AbstractAssuming a general linear model with known covariance matrix, several linear and nonlinear p...
AbstractThis paper deals with the problem of Stein-rule prediction in a general linear model. Our st...
This article studies the use of the sample distribution for the prediction of finite population tota...
The multivariate mixed linear model or multivariate components of variance model with equal replicat...
In this article, we consider the optimal prediction of the finite population distribution function u...
AbstractAdmissible prediction problems in finite populations with arbitrary rank under matrix loss f...
The multivariate mixed linear model or multivariate components of variance model with equal replicat...
The multivariate mixed linear model or multivariate components of variance model with equal replicat...
Strategies are compared for the development of a linear regression model with stochastic (multivaria...
Graduation date: 1981The problem of predicting variate values for all individual units\ud in a finit...
A method for constructing the best unbiased predictors in finite populations are stated by using th...
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