Geodesic
Estimation of polynomials in the regression model
Applications of Mathematics, Tome 27 (1982) no. 3, pp. 223-231
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Let $\bold Y$ be an $n$-dimensional random vector which is $N_n(\bold {A0,K})$ distributed. A minimum variance unbiased estimator is given for $f(o)$ provided $f$ is an unbiasedly estimable functional of an unknown $k$-dimensional parameter $\bold 0$.
Let $\bold Y$ be an $n$-dimensional random vector which is $N_n(\bold {A0,K})$ distributed. A minimum variance unbiased estimator is given for $f(o)$ provided $f$ is an unbiasedly estimable functional of an unknown $k$-dimensional parameter $\bold 0$.
DOI : 10.21136/AM.1982.103964
Classification : 62F10, 62J05
Keywords: estimation of polynomials; regression model; general linear model; BLUE; unbiased estimate; generalized Hermitian polynomial 
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Volaufová, Júlia. Estimation of polynomials in the regression model. Applications of Mathematics, Tome 27 (1982) no. 3, pp. 223-231. doi: 10.21136/AM.1982.103964

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