On asymptotic normality of estimates of regression coefficients
Teoriâ veroâtnostej i ee primeneniâ, Tome 16 (1971) no. 4, pp. 724-728
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Let $\xi(t)=\alpha+\Delta(t)$ where $\Delta(t)$ is a strong-sense stationary process with zero mean and spectral density $f(\lambda)$. In the paper, sufficient conditions are given for the least-squares estimate of $\alpha$ to be asymptotically normal.
@article{TVP_1971_16_4_a13,
author = {A. S. Holevo},
title = {On asymptotic normality of estimates of regression coefficients},
journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
pages = {724--728},
year = {1971},
volume = {16},
number = {4},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/TVP_1971_16_4_a13/}
}
A. S. Holevo. On asymptotic normality of estimates of regression coefficients. Teoriâ veroâtnostej i ee primeneniâ, Tome 16 (1971) no. 4, pp. 724-728. http://geodesic.mathdoc.fr/item/TVP_1971_16_4_a13/