Convergence of the method of least squares

DOI10.1007/BF01207722zbMath0816.65146OpenAlexW2038760302MaRDI QIDQ1326060

I. I. Sharapudinov

Publication date: 13 July 1994

Published in: Mathematical Notes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01207722

zbMATH Keywords

convergencemethod of least squaresrandom variableobservational error

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Convergence of probability measures (60B10) Probabilistic methods, stochastic differential equations (65C99)

Related Items (7)

Nonparametric trigonometric orthogonal regression estimation ⋮ Least squares orthogonal polynomial regression estimation for irregular design ⋮ Approximation of functions by discrete Fourier sums in polynomials orthogonal on a nonuniform grid with Jacobi weight ⋮ The approximation of functions by partial sums of the Fourier series in polynomials orthogonal on arbitrary grids ⋮ Two-sided estimates of Fourier sums Lebesgue functions with respect to polynomials orthogonal on nonuniform grids ⋮ On the convergence of the least square method in case of non-uniform grids ⋮ Approximation Properties of Discrete Fourier Sums in Polynomials Orthogonal on Non-Uniform Grids

Cites Work

• On the best approximation and polynomials of the least quadratic deviation
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