Curve Extrapolation and Data Analysis Using the Method of Hurwitz-Radon Matrices
Data analysis needs suitable methods of curve extrapolation. The proposed method of Hurwitz-Radon Matrices (MHR) can be used in extrapolation and interpolation of curves in the plane. For example, quotations from the Stock Exchange, the market prices or currency rates form a curve. This paper presents the way of data anticipation and extrapolation via the MHR method and decision making: to buy or not, to sell or not. The proposed method is based on a family of Hurwitz-Radon (HR) matrices. The matrices are skew-symmetric and possess columns composed of orthogonal vectors. The operator of Hurwitz-Radon (OHR), built from these matrices, is described. Two-dimensional data are represented by the set of curve points. It is shown how to create the orthogonal and discrete OHR and how to use it in a process of data foreseeing and extrapolation. The MHR method interpolates and extrapolates the curve point by point without using any formula or function.
Year of publication: |
2010
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Authors: | Dariusz, Jakóbczak |
Published in: |
Folia Oeconomica Stetinensia. - De Gruyter Open. - Vol. 9.2010, 1, p. 121-138
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Publisher: |
De Gruyter Open |
Subject: | data analysis | decision making | curve interpolation | data extrapolation | value anticipation | the Hurwitz-Radon matrices |
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