Note on the estimation of parameters of the mean and the variance in $n$-stage linear models
Volaufová, Júlia
Applications of Mathematics, Tome 33 (1988), p. 41-48 / Harvested from Czech Digital Mathematics Library

The paper deals with the estimation of the unknown vector parameter of the mean and the parameters of the variance in the general $n$-stage linear model. Necessary and sufficient conditions for the existence of the uniformly minimum variance unbiased estimator (UMVUE) of the mean-parameter under the condition of normality are given. The commonly used least squares estimators are used to derive the expressions of UMVUE-s in a simple form.

Publié le : 1988-01-01
Classification:  62F10,  62H12,  62J05,  62J10
@article{104285,
     author = {J\'ulia Volaufov\'a},
     title = {Note on the estimation of parameters of the mean and the variance in $n$-stage linear models},
     journal = {Applications of Mathematics},
     volume = {33},
     year = {1988},
     pages = {41-48},
     zbl = {0635.62067},
     mrnumber = {0934373},
     language = {en},
     url = {http://dml.mathdoc.fr/item/104285}
}
Volaufová, Júlia. Note on the estimation of parameters of the mean and the variance in $n$-stage linear models. Applications of Mathematics, Tome 33 (1988) pp. 41-48. http://gdmltest.u-ga.fr/item/104285/

J. Kleffe Simultaneous estimation of expectation and covariance matrix in linear models, Math. Operat. Statist., Ser. Statistics (1978) No 3, 443-478. (1978) | MR 0522072 | Zbl 0415.62026

L. Kubáček Multistage regression model, Aplikace matematiky 31 (1986) No. 2, 89-96. (1986) | MR 0837470

J. Volaufová Estimation of parameters of mean and variance in two-stage linear models, Aplikace matematiky 32 (1987) No. 1, 1 - 8. (1987) | MR 0879324