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Weight coefficients in the weighted least squares method

In this paper, a problem of estimating some parameters of linear mathematical models is considered. It is found that by choosing weight coefficients in the least squares method, one can obtain solutions by minimizing any penalty functions of a wide class, including Holder norms. It is proved that a set of solutions obtained by varying the weight coefficients in the least squares method is bounded. Some practical ...

Теги: least squares method , mathematical model , parameter estimation , weight coefficients
Раздел: ESI SB RAS


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