Time-Series Analysis
WAVELET TRANSFORMS IN TIME SERIES ANALYSIS
... results. Time series analysis and forecasting using wavelet transforms has become a powerful tool to determine, within a time series, both the dominant modes of variability and how ...
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Application of time-series analysis for prediction of molding sand properties in production cycle
... the time-series analysis can be a useful prediction tool for that type of ...the time-series analysis for prediction of future values when the noise component is relatively ...
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Missing Data in Time Series: Analysis, Model and Software Application
... Time series data can be found in nearly every study field, going from healthcare to finance, from social science to the energy ...on time series analysis (Box and Jenkins, 1970; ...
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Use of GPU for time series analysis
... for time series analysis, by taking advantage of a ...GNSS time series analysis software play an important role to determine the accuracy of these ...computation time is ...
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Wavelet Cross-correlation in Bivariate Time-Series Analysis
... bivariate time-series analysis, the relation between two series can be ...one time series may be related to an other with a time offset (either to the past or to the ...
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A time series analysis of household income inequality in Brazil 1977-2013
... using time series data is to investigate the time series proprieties of the series using univariate analysis without explanatory ...(broken) time trend in the data of ...
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Foreign Direct Investment and Economic Growth: A Time Series Analysis of Turkey, 1979-2011
... of time-series variables are stationary even though they are individually non-stationary according to Dickey et ...more series are individually integrated in the same order but some linear ...
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Economic Perspectives of Sugarcane Crop in Pakistan: A Time Series Analysis (1970-2015) (Part 4)
... spatial analysis and crop management (Drummond, Sudduth, Joshi, Birrel, & Kitchen, 2003; ...ANN analysis has been utilized in precision agriculture to compute the data against spatial analysis ...
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Sugarcane yield estimates using time series analysis of spot vegetation images
... NDVI time profile from December to January next year enabled to classify yields into three classes: below average, average and above ...previous analysis and predictions on the average municipal yield ...
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Climate variability, weather and enteric disease incidence in New Zealand: time series analysis.
... global analysis of diarrhoeal incidence in children found a negative linear association with rainfall [62], consistent with the results of a cross-sectional study in the Pacific Islands ...
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Linear and Non-linear time series analysis: forecasting financial markets
... As with all times series analysis, we wish to find an ARIMA model that fits our financial historic data the closest and will perform the best when used for forecasting. In order to do this, it is necessary ...
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Investigation on Law and Economics Based on Complex Network and Time Series Analysis.
... We use model complex networks to testify our approach by employing PDG on three types of complex networks: random, small-world, and scale-free. During the system’s evolution to- wards the steady state, we record ...
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MODIS TIME SERIES ANALYSIS AND TRMM IN EUCALYPTUS PLANTATIONS
... The GPP plots of the clonal (Figure 5A) and seed (Figure 5B) plantations show a similar range of variation (from 2 to 10) and a defined seasonal character, with lower productivity in the winter period and higher in the ...
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ANALYSIS OF THE PHENOLOGY DYNAMICS OF BRAZILIAN CAATINGA SPECIES WITH NDVI TIME SERIES
... A time series analysis was carried out, describing the intrinsic parameters of the series (Seasonality and Trends), the forecast of NDVI values using SARIMA model and co-integration between ...
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Rev. Saúde Pública vol.48 número6
... association: time-series analysis using Poisson regression model, bidirectional case-crossover analysis matched by period, and case-crossover analysis matched by the confounding factor, ...
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On reconstruction of time series in climatology
... the time series which contains simultaneous observations of both scalar series with subsequent application of the model to restore the shorter one into the ...of time series ...
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MULTI BAND INSAR ANALYSIS OF SUBSIDENCE DEVELOPMENT BASED ON THE LONG PERIOD TIME SERIES
... Longer time analysis can lead to understand longer trends and ...network. Time series (StaMPS PS+SB) of several points over Çumra County in eastern part of Konya City show a general trend of ...
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RBRH vol.22
... containing time series of various variables and monitoring ...The analysis of these data requires the application of appropriate statistical methods, especially in urban basins, where processes that ...
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GARLIC YIELD FORECASTING BY TIME SERIES MODELS
... use time series models in order to realize forecasting garlic yield using data of bulb dry matter from six garlic ...the time series models, data were collected in the periods: 60, 90, 120 and ...
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