Generalized method of least squares collocation

Ludmila Kubáčková; Lubomír Kubáček

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Displaying similar documents to “Generalized method of least squares collocation”

Robustness of the best linear unbiased estimator and predictor in linear regression models

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If is shown that in linear regression models we do not make a great mistake if we substitute some sufficiently precise approximations for the unknown covariance matrix and covariance vector in the expressions for computation of the best linear unbiased estimator and predictor.

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Motivation, existence and equivariance of $D$ -estimators

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Displaying similar documents to “Generalized method of least squares collocation”

Robustness of the best linear unbiased estimator and predictor in linear regression models

On the pseudoinverse of a sum of symmetric matrices with applications to estimation

On the confidence region of a vector parameter

Motivation, existence and equivariance of D -estimators

Motivation, existence and equivariance of $D$ -estimators