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Regression of Experimental Data Using an Orthogonalized Polynomial

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Bulletin of the Russian Academy of Sciences: Physics Aims and scope

Abstract

A quantitative comparison is made between two regression algorithms based on orthogonalized and non-orthogonal polynomials. An algorithm for modeling experimental measurements of the rates of chemical reactions is constructed as a test. The advantages of using an orthogonalized polynomial are shown.

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Funding

The work was supported by the President of the Russian Federation, project no. MK-3630.2021.1.1.

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Authors and Affiliations

  1. Faculty of Physics, Moscow State University, 119991, Moscow, Russia

    O. I. Topor, A. A. Belov & L. V. Borodachev

  2. Peoples’ Friendship University of Russia (RUDN University), 117198, Moscow, Russia

    A. A. Belov

Authors
  1. O. I. Topor
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  2. A. A. Belov
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  3. L. V. Borodachev
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Corresponding author

Correspondence to O. I. Topor.

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The authors declare they have no conflicts of interest.

Additional information

Translated by O. Ponomareva

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Topor, O.I., Belov, A.A. & Borodachev, L.V. Regression of Experimental Data Using an Orthogonalized Polynomial. Bull. Russ. Acad. Sci. Phys. 86, 1320–1323 (2022). https://doi.org/10.3103/S1062873822110314

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  • DOI: https://doi.org/10.3103/S1062873822110314

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