New Method of Time Series Analysis and Its Application to Wolf's Sunspot Number Data. II: Periodicities of The Daily Sunspot Numbers

1997 ◽  
Vol 36 (Part 1, No. 2) ◽  
pp. 957-968 ◽  
Author(s):  
Saburou Terachi ◽  
Norio Ohtomo ◽  
Yukio Tanaka ◽  
Kazuo Tokiwano ◽  
Noboru Kaneko
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Sunspot Number ◽  
New Method ◽  
Sunspot Numbers ◽  
Series Analysis

New Method of Time Series Analysis and Its Application to Wolf's Sunspot Number Data

1994 ◽  
Vol 33 (Part 1, No. 5A) ◽  
pp. 2821-2831 ◽  
Author(s):  
Norio Ohtomo ◽  
Saburou Terachi ◽  
Yukio Tanaka ◽  
Kazuo Tokiwano ◽  
Noboru Kaneko
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Sunspot Number ◽  
New Method ◽  
Series Analysis

A New Method of Time Series Analysis and its Application to Identifying Modal Parameters

1991 ◽  
Author(s):  
Yusheng He ◽  
Zhaoxiang Deng
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Time Domain ◽  
New Method ◽  
Modal Parameters ◽  
Frequency Domain Method ◽  
Identification Algorithm ◽  
Series Analysis ◽  
The Time Domain ◽  
Modeling Strategy

Abstract In the paper, the attention concentrates on the time domain modal analysis. A new method of time series analysis, which is formed mainly by an ideal modeling strategy and a new COR-IV method, is developed. In addition, an interesting parameter called as modal energy ratio, which is available for design reference, is defined and its identification algorithm is given. The new method presented in this paper and Frequency Domain Method (FDM) are performed on a frame of SG120 vehicle. It is shown by comparison between these two methods that the new method of time series analysis is practical.

Relationship of cholera incidence to El Niño and solar activity elucidated by time-series analysis

2009 ◽  
Vol 138 (1) ◽  
pp. 99-107 ◽  
Author(s):  
K. OHTOMO ◽  
N. KOBAYASHI ◽  
A. SUMI ◽  
N. OHTOMO
Keyword(s):  
Time Series ◽  
Solar Activity ◽  
Time Series Analysis ◽  
Surface Temperature ◽  
Sunspot Number ◽  
El Niño ◽  
El Nino ◽  
Sea Surface ◽  
Series Analysis ◽  
Relationship Of

SUMMARYUsing time-series analysis, we investigated the monthly cholera incidence in Dhaka, Bangladesh during an 18-year period for its relationship to the sea surface temperature (SST) linked to El Niño, and to the sunspot number. Dominant periodic modes identified for cholera incidence were 11·0, 4·8, 3·5, 2·9, 1·6, 1·0 and 0·5 years. The majority of these modes, e.g. the 11·0-, 4·8-, 3·5-, 1·6- and 1·0-year modes, were essentially consistent with those obtained for the SST data (dominant modes: 5·1, 3·7, 2·5, 2·1, 1·5, 1·0 years) and the sunspot number data (dominant modes: 22·1, 11·1, 7·3, 4·8, 3·1 years). We confirmed that the variations of cholera incidence were synchronous with SSTs, and were inversely correlated to the sunspot numbers. These results suggest that the cholera incidence in Bangladesh may have been influenced by the occurrence of El Niño and also by the periodic change of solar activity.

A new method of nonstationary time series analysis based on inhomogeneous AR equation

1997 ◽  
Vol 45 (8) ◽  
pp. 2130-2136 ◽  
Author(s):  
Y. Yokoyama ◽  
M. Kumazawa ◽  
Y. Imanishi ◽  
N. Mikami
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Nonstationary Time Series ◽  
New Method ◽  
Series Analysis
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