An Illustration of Harmonic Regression Based on the Results of the Fast Fourier Transformation
Yugoslav journal of operations research, Tome 12 (2002) no. 2, p. 185
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The well-known methodology of the Fourier analysis is put against the
background in the 2nd half of the century parallel to the development of the time-
domain approach in the analysis of mainly economical time series. However, from the
author's point of view, the former possesses some hidden analytical advantages which
deserve to be re-introduced to the toolbox of analysts.
This paper, through several case studies, reports research results for computer
algorithm providing a harmonic model for time series. The starting point of the
particular method is a harmonic analysis (Fourier-analysis or Lomb-periodogram). The
results are optimized in a multifold manner resulting in a model which is easy to
handle and able to forecast the underlying data. The results provided are particularly
free from limitations characteristic for that methods. Furthermore, the calculated
results are easy to interpret and use for further decisions. Nevertheless, the author
intends to enhance the procedure in several ways.
The method shown seems to be very effective and useful in modeling time series
consisting of periodic terms. An additional advantage is the easy interpretation of the
obtained parameters.
@article{YJOR_2002_12_2_a3,
author = {Imre B\'artfai},
title = {An {Illustration} of {Harmonic} {Regression} {Based} on the {Results} of the {Fast} {Fourier} {Transformation}},
journal = {Yugoslav journal of operations research},
pages = {185 },
year = {2002},
volume = {12},
number = {2},
zbl = {1034.62073},
language = {en},
url = {http://geodesic.mathdoc.fr/item/YJOR_2002_12_2_a3/}
}
Imre Bártfai. An Illustration of Harmonic Regression Based on the Results of the Fast Fourier Transformation. Yugoslav journal of operations research, Tome 12 (2002) no. 2, p. 185 . http://geodesic.mathdoc.fr/item/YJOR_2002_12_2_a3/