Geodesic
On building matrices in the theory of least squares method
Izvestiâ vysših učebnyh zavedenij. Matematika, no. 4 (2019), pp. 27-35 Cet article a éte moissonné depuis la source Math-Net.Ru

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We construct samples of real matrices whose numbers of rows are greater than the number of columns and which satisfy four requirements: the squares of the rows are equal one, the squares of the columns are equal to each other, the columns are pairwise orthogonal, the sum of the components of each column is zero, except for two cases. In the first case, the number of rows is odd, and the number of columns is one. In the second case, the number of rows is odd, and the number of columns is two less than the number of rows. It is proved that in these cases there are no matrices satisfying the four specified requirements. The place of matrices satisfying the four specified requirements is shown in the theory of errors in measuring systems such as GPS.
Keywords: least squares method, minimum of variance, building matrix, duality of building matrices. 
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O. O. Barabanov; L. P. Barabanova. On building matrices in the theory of least squares method. Izvestiâ vysših učebnyh zavedenij. Matematika, no. 4 (2019), pp. 27-35. http://geodesic.mathdoc.fr/item/IVM_2019_4_a2/

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