A Estimate Class of G-M Linear Model
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Abstract
This paper discusses the estimate class of parameter β such as~ β = AX’y: the necessary and sufficient condition that ~β is the linear admissible estimate of β; when the error is normal, the linear admissible subclass is equivalent to the class of the Bayes estimate; the principal component estimate ~βk* of k has properties of T-min max and A, Φ1-max min in the estimate class Γk.
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