Geodesic
On the choice of estimation technique for regression experimental designs unbiased in $L_2$-metric
Teoriâ veroâtnostej i ee primeneniâ, Tome 21 (1976) no. 2, pp. 435-441

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The paper deals with regression experimental designs unbiased in the $L_2$-metric. Consideration is concentrated upon the choice of estimation technique for design procedures. It is shown that the procedure using the reproducing kernel method dominates the least-squares procedure. In particular, results for polynominal and trigonometric regressions are derived. Numerical examples are given. 
@article{TVP_1976_21_2_a24,
     author = {E. V. Sedunov},
     title = {On the choice of estimation technique for regression experimental designs unbiased in $L_2$-metric},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {435--441},
     publisher = {mathdoc},
     volume = {21},
     number = {2},
     year = {1976},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/TVP_1976_21_2_a24/}
}
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E. V. Sedunov. On the choice of estimation technique for regression experimental designs unbiased in $L_2$-metric. Teoriâ veroâtnostej i ee primeneniâ, Tome 21 (1976) no. 2, pp. 435-441. http://geodesic.mathdoc.fr/item/TVP_1976_21_2_a24/