Spectral Analysis of Time Series with Rhythmic Structure

1999 ◽  
Vol 31 (1-3) ◽  
pp. 100-107
Author(s):  
I. N. Yavorskiy ◽  
I. Yu. Isaev
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Rhythmic Structure ◽  
Analysis Of Time Series

Advanced Seminar on Spectral Analysis of Time Series

Technometrics ◽  
1969 ◽  
Vol 11 (3) ◽  
pp. 622-624
Author(s):  
Charlotte Striebel
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Analysis Of Time Series

Spectral analysis of time series of categorical variables in earth sciences

2016 ◽  
Vol 95 ◽  
pp. 99-104 ◽  
Author(s):  
Eulogio Pardo-Igúzquiza ◽  
Francisco J. Rodríguez-Tovar ◽  
Javier Dorador
Keyword(s):  
Earth Sciences ◽  
Time Series ◽  
Spectral Analysis ◽  
Categorical Variables ◽  
Analysis Of Time Series

Some Comments on Spectral Analysis of Time Series

Technometrics ◽  
1961 ◽  
Vol 3 (2) ◽  
pp. 221-228 ◽  
Author(s):  
N. R. Goodman
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Analysis Of Time Series

scholarly journals USING WAVELETS IN ECONOMICS. AN APPLICATION ON THE ANALYSIS OF WAGE-PRICE RELATION

2017 ◽  
Vol 2 (1) ◽  
pp. 32-42
Author(s):  
Vasile-Aurel Caus ◽  
Daniel Badulescu ◽  
Mircea Cristian Gherman
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Wavelet Transforms ◽  
Wavelet Decomposition ◽  
Fourier Transforms ◽  
Nominal Wage ◽  
Economic Issues ◽  
Wavelet Methods ◽  
Theoretical Considerations ◽  
Analysis Of Time Series

In the last decades, more and more approaches of economic issues have used mathematical tools, and among the most recent ones, spectral and wavelet methods are to be distinguished. If in the case of spectral analysis the approaches and results are sufficiently clear, while the use of wavelet decomposition, especially in the analysis of time series, is not fully valorized. The purpose of this paper is to emphasize how these methods are useful for time series analysis. After theoretical considerations on Fourier transforms versus wavelet transforms, we have presented the methodology we have used and the results obtained by using wavelets in the analysis of wage-price relation, based on some empirical data. The data we have used is concerning the Romanian economy - the inflation and the average nominal wage denominated in US dollars, between January 1991 and May 2016, highlighting that the relation between nominal salary and prices can be revealed more accurately by use of wavelets

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