scholarly journals Moored instrument for time series studies of primary production and other microbial rate processes

1993 ◽  
Author(s):  
C.D. Taylor ◽  
K.W. Doherty
Keyword(s):  
Time Series ◽  
Primary Production ◽  
Time Series Studies ◽  
Rate Processes

scholarly journals Generalized linear mixed models in time series studies of air pollution

2011 ◽  
Vol 2 (4) ◽  
pp. 428-435 ◽  
Author(s):  
Ya–Hsiu Chuang ◽  
Sati Mazumdar ◽  
Taeyoung Park ◽  
Gong Tang ◽  
Vincent. C. Arena ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Mixed Models ◽  
Generalized Linear Mixed Models ◽  
Linear Mixed Models ◽  
Time Series Studies

Use of Age-Adjusted Suicide Rates in Time Series Studies in Canada

1997 ◽  
Vol 81 (2) ◽  
pp. 490-490
Author(s):  
David Lester
Keyword(s):  
Time Series ◽  
Suicide Rates ◽  
Time Series Studies ◽  
Divorce Rates

For 1950–1985 age adjusted suicide rates were associated with marriage, birth, and divorce rates in Canada in the same way as were crude suicide rates.

scholarly journals Determination of the Starting Point in Time Series for Trend Detection Based on Overlapping Trend

2016 ◽  
Vol 16 (6) ◽  
pp. 98-110
Author(s):  
Gao Xuedong ◽  
Gu Kan
Keyword(s):  
Time Series ◽  
Piecewise Linear ◽  
Negative Influence ◽  
Trend Detection ◽  
Computational Accuracy ◽  
Starting Point ◽  
Time Series Studies ◽  
Definition Of ◽  
Stage Characteristic

Abstract The traditional time series studies consider the time series as a whole while carrying on the trend detection; therefore not enough attention is paid to the stage characteristic. On the other hand, the piecewise linear fitting type methods for trend detection are lacking consideration of the possibility that the same node belongs to multiple trends. The above two methods are affected by the start position of the sequence. In this paper, the concept of overlapping trend is proposed, and the definition of milestone nodes is given on its base; these way not only the recognition of overlapping trend is realized, but also the negative influence of the starting point of sequence is effectively reduced. The experimental results show that the computational accuracy is not affected by the improved algorithm and the time cost is greatly reduced when dealing with the processing tasks on dynamic growing data sequence.

scholarly journals Identification and Modeling Carbon and Energy Fluxes from Eddy Covariance Time Series Measurements in Rice and Rainfed Crops

2021 ◽  
Vol 9 (1) ◽  
pp. 9
Author(s):  
Víctor Cicuéndez ◽  
Javier Litago ◽  
Víctor Sánchez-Girón ◽  
Laura Recuero ◽  
César Sáenz ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Primary Production ◽  
Eddy Covariance ◽  
Carbon Balance ◽  
Gross Primary Production ◽  
Meteorological Variables ◽  
Water Fluxes ◽  
Energy Fluxes ◽  
Global Carbon

Gross primary production (GPP) represents the carbon (C) uptake of ecosystems through photosynthesis and it is the largest flux of the global carbon balance. Our overall objective in this research is to identify and model GPP dynamics and its relationship with meteorological variables and energy fluxes based on time series analysis of eddy covariance (EC) data in two different agroecosystems, a Mediterranean rice crop in Spain and a rainfed cropland in Germany. Crops exerted an important influence on the energy and water fluxes dynamics existing a clear feedback between GPP, meteorological variables and energy fluxes in both type of crops.

Time-series studies on air pollution and daily outpatient visits for allergic rhinitis in Beijing, China

2011 ◽  
Vol 409 (13) ◽  
pp. 2486-2492 ◽  
Author(s):  
Fengying Zhang ◽  
Wuyi Wang ◽  
Jinmei Lv ◽  
Thomas Krafft ◽  
Jin Xu
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Allergic Rhinitis ◽  
Outpatient Visits ◽  
Time Series Studies ◽  
Beijing China
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