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      Best linear unbiased estimation and prediction under a selection model.

      Biometrics

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          Abstract

          Mixed linear models are assumed in most animal breeding applications. Convenient methods for computing BLUE of the estimable linear functions of the fixed elements of the model and for computing best linear unbiased predictions of the random elements of the model have been available. Most data available to animal breeders, however, do not meet the usual requirements of random sampling, the problem being that the data arise either from selection experiments or from breeders' herds which are undergoing selection. Consequently, the usual methods are likely to yield biased estimates and predictions. Methods for dealing with such data are presented in this paper.

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          Author and article information

          Journal
          Biometrics
          Biometrics
          0006-341X
          0006-341X
          Jun 1975
          : 31
          : 2
          Article
          10.2307/2529430
          1174616
          dae0ee79-d109-44cc-af78-2a0a0c29a152
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