Computation of variance components by the MINQUE method
We present a new method of computing C. R. Rao's MINQUE in variance component models (y = X[beta] + U1[xi]1 + ... + Up[xi]p), which requires only inversion and storage of ni - ni matrices, where ni is the number of columns in Ui. In many cases most of these matrices are of diagonal form. In particular, the derivation of MINQUE equations for univariate nested classification models does not need any inversion of matrices.
Year of publication: |
1986
|
---|---|
Authors: | Kleffe, J. ; Seifert, B. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 18.1986, 1, p. 107-116
|
Publisher: |
Elsevier |
Keywords: | Variance components computation of MINQUE multivariate models |
Saved in:
Saved in favorites
Similar items by person
-
Matrix free computation of C.R. Rao's MINQUE for unbalanced nested classification models
Kleffe, J., (1984)
-
Kleffe, J., (1992)
-
On Hsu's theorem in multivariate regression
Kleffe, J., (1979)
- More ...