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The Coordinate-Free Prediction in Finite Populations with Correlated Observations
Department of Statistics, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil
- 1 Department of Statistics, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil
Open Journal of Statistics·Volume 07 (2017)·Pages 182–193·Published 20 April 2017·DOI10.4236/ojs.2017.72014
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Abstract
In this paper, we got the best linear unbiased predictor of any linear function of the elements of a finite population under coordinate-free models. The optimal predictor of these quantities was obtained in an earlier work considering models with a known diagonal covariance matrix. We extended this result assuming any known covariance matrix. It is shown that in the particular case of the coordinatized models, this general predictor coincides with the optimal predictor of the total population under a regression super population model with correlated observations.
KeywordsCoordinate-Free ModelsBest Linear Unbiased PredictorCovariance MatrixOrthogonal Projection
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