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

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

Statistical Time Series Analysis of Crack Movements at Bayon Main Tower, Cambodia

2010 ◽  
Vol 133-134 ◽  
pp. 397-402 ◽  
Author(s):  
Shunsuke Yamada ◽  
Masato Araya ◽  
Mitsuharu Fukuda ◽  
Yoshinori Iwasaki
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
State Space ◽  
Weather Conditions ◽  
Space Representation ◽  
State Space Representation ◽  
The Past ◽  
Series Analysis ◽  
Crack Movement ◽  
Statistical Time

Based on the past monitoring data of crack movements and various weather conditions by JASA (Japanese Government Team of Safeguarding Angkor), we quantitatively examine about the effects of each weather conditions to each crack movements at Bayon main tower. Then, we applied the time series analysis using a state-space representation in the examination. In the model of the state-space representation, the factors of crack movement are assumed as temperature, wind velocity and rainfall. Those quantitative examinations of crack movements will be necessary for the planning of reinforcement and restoration at Bayon main tower.

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