Relationship plurality approximation
Abstract
An algorithm for the approximation of relationship pluralities is set by linear combinations of functions with unknown coefficients, which in part coincides in all relationship pluralities having been built using ordinary least squares. Examples of the algorithm’s realization, when finding particular solutions plurality of linear nonhomogeneous differential equations, have been given.
References
1. Kobzar’ A.I. Applied Mathematical Statistics. For Engineers and Scientists. Moscow, Fizmatlit, 2006.
2. Seber G.A.F. Linear Regression Analysis. John Wiley and Sons. New York, London, Sydney, Toronto, 1977.
3. Williams E.J. Regression Analysis. New York, Wiley, 1959.
4. Sprent P. Models in Regression and Related Topics. London, Methuen, 1969.
5. Lukyanov V.D. On the Issue of Interpolation Approximation Polynomial Construction. Nanosystems: Physics, Chemistry, Mathematics, 3 (6), P. 5–15 (2012).
Review
For citations:
Lukyanov V.D. Relationship plurality approximation. Nanosystems: Physics, Chemistry, Mathematics. 2014;5(3):384-390.