scholarly journals Recent developments in statistical time series analysis: Examples of use in climate research

2003 ◽  
Vol 30 (12) ◽  
Author(s):  
F. Godtliebsen ◽  
L. R. Olsen ◽  
J.-G. Winther
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Climate Research ◽  
Series Analysis ◽  
Recent Developments ◽  
Statistical Time

Soft Computing Based Statistical Time Series Analysis, Characterization of Chaos Theory, and Theory of Fractals

2013 ◽  
pp. 30-61 ◽  
Author(s):  
Mofazzal H. Khondekar ◽  
Dipendra N. Ghosh ◽  
Koushik Ghosh ◽  
Anup Kumar Bhattacharya
Keyword(s):  
Time Series ◽  
Fractal Dimension ◽  
Time Series Analysis ◽  
Soft Computing ◽  
Chaos Theory ◽  
Filter Design ◽  
Theoretical Perspective ◽  
Series Analysis ◽  
Statistical Time

The present work is an attempt to analyze the various researches already carried out from the theoretical perspective in the field of soft computing based time series analysis, characterization of chaos, and theory of fractals. Emphasis has been given in the analysis on soft computing based study in prediction, data compression, explanatory analysis, signal processing, filter design, tracing chaotic behaviour, and estimation of fractal dimension of time series. The present work is a study as a whole revealing the effectiveness as well as the shortcomings of the various techniques adapted in this regard.

Applied Statistical Time Series Analysis

Technometrics ◽  
1990 ◽  
Vol 32 (3) ◽  
pp. 353-354
Author(s):  
Michael A. Wincek
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Series Analysis ◽  
Statistical Time

Applied Statistical Time Series Analysis.

1990 ◽  
Vol 85 (409) ◽  
pp. 258
Author(s):  
William W. S. Wei ◽  
Robert H. Shumway
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Series Analysis ◽  
Statistical Time

scholarly journals Ordinal symbolic analysis and its application to biomedical recordings

2015 ◽  
Vol 373 (2034) ◽  
pp. 20140091 ◽  
Author(s):  
José M. Amigó ◽  
Karsten Keller ◽  
Valentina A. Unakafova
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Symbolic Dynamics ◽  
Symbolic Analysis ◽  
New Approach ◽  
Series Analysis ◽  
Recent Developments

Ordinal symbolic analysis opens an interesting and powerful perspective on time-series analysis. Here, we review this relatively new approach and highlight its relation to symbolic dynamics and representations. Our exposition reaches from the general ideas up to recent developments, with special emphasis on its applications to biomedical recordings. The latter will be illustrated with epilepsy data.

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