Abstract
A general Gauss-Markov model is a model
, where V is a known matrix. Linear models can be divided into four categories depending on the assumptions made about V:
-
(a)
V is an identity matrix,
-
(b)
V is nonsingular,
-
(c)
V is possibly singular but C(X)⊂ C(V),
-
(d)
V is possibly singular.
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© 1996 Springer Science+Business Media New York
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Christensen, R. (1996). Estimation and Testing in General Gauss-Markov Models. In: Plane Answers to Complex Questions. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2477-6_10
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DOI: https://doi.org/10.1007/978-1-4757-2477-6_10
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