Analysis of pseudo‐periodic chronological series with irregularly time‐spaced data in view to their prediction. II. Fourier analysis

M. O. Mennessier, G. Burki and J. P. Cordoni

Applied Stochastic Models and Data Analysis, 1989, vol. 5, issue 3, 255-257

Abstract: The problem originates from the necessity to predict luminosities of large‐amplitude variable stars that are to be observed by the astronomical satellite HIPPARCOS. The data have a specific character: they are unequally time‐spaced and can be missing during a long time in comparison to the pseudo‐period. So the classical method of time‐series analysis must be adapted and new methods are to be searched. In this paper we present a numerical solution derived from a Fourier analysis.

Date: 1989
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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:5:y:1989:i:3:p:255-257

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