Abstract
Proposals are presented for new approaches to selection of the weighting characteristics (weights) in the method of least squares with allowance for not only the stochastic characteristics of measurement errors, but for the coefficients of the quadrature formulas used for transition to discrete analysis of a continuous process; the case of nonuniformities in the distribution of locations of quantization points for measurements is also considered.
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Additional information
Translated from Izmeritel’naya Tekhnika, No. 8, pp. 5–10, August, 1996.
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Sysoev, Y.S. Algorithms for choosing weighting characteristics for approximation of functions with the method of least squares. Meas Tech 39, 792–800 (1996). https://doi.org/10.1007/BF02370190
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DOI: https://doi.org/10.1007/BF02370190