Abstract

Abstract The formulation and methodology of curve fitting polynomials by discounted least squares can be simplified through the use of the discrete Laguerre polynomials, which are mutually orthogonal with respect to an exponential weighting function. One advantage of this formulation is that the first k+ 1 coefficients of a fitting polynomial of degree m > k are the same as those of a fitting polynomial of degree k. The Laguerre polynomials are introduced and their properties are derived. The recursive method for computing coefficients is shown to have a simple structure that is independent of the degree k of the fitting polynomials. In addition, some properties of the method of smoothing and forecasting are discussed.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.