caa a22 4500 477043186 CHVBK 20180405111323.0 cr unu---uuuuu 170330e19960801xx s 000 0 eng 10.1007/BF02370190 doi (NATIONALLICENCE)springer-10.1007/BF02370190 Sysoev Yu aut Algorithms for choosing weighting characteristics for approximation of functions with the method of least squares [Elektronische Daten] [Yu. Sysoev] 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. Plenum Publishing Corporation, 1997 Measurement Techniques Kluwer Academic Publishers-Plenum Publishers 39/8(1996-08-01), 792-800 0543-1972 39:8<792 1996 39 11018 https://doi.org/10.1007/BF02370190 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02370190 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Sysoev Yu aut NATIONALLICENCE 773 0- Measurement Techniques Kluwer Academic Publishers-Plenum Publishers 39/8(1996-08-01), 792-800 0543-1972 39:8<792 1996 39 11018 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer