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The datasets are unevenly spaced time series data which restricts us from applying standard time series methodologies and therefore in order to model and predict GWL with the help of ΔTWS, we have built Linear Regression Model (LRM), Support Vector Regression (SVR) and Artificial Neural Network (ANN).
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The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity.
The empirical analysis takes place with the structural time series methodology which decomposes the price series into their trend, cycle, seasonal and irregular components.
The structural time series methodology by Koopman et al. (2009) is used to decompose the wheat and rice price series into trend, seasonal, cycle and irregular components.
Moore et al. (2012a, b) also used time series methodology to model QIDS scores looking at the correlation between the scale domains.
The electricity production described in "Electricity production time series: methodology" section is calculated in 10 min intervals during a period of 48 hours around the summer solstice.
Time series methodology was then applied to the monthly aggregates.
However, such an approach has one major advantage: focusing upon one hospital provides a controlled environment, which is necessary for the time series methodology and permitted the researchers to attribute changes in the quality measures to the intervention of accreditation.
The purpose of this study was to utilize time series methodology to determine the temporal and seasonal variations and the strength of the seasonality in age-related (senile) cataract hospitalizations and phacoemulsification surgeries.
Saduria entomon [60], [61]), could be investigated by expanding the species representation and climate forcing in some existing multi-species modelling approaches such as Multi-species Virtual Population Analysis [62], Ecopath [27], stochastic time-series methodologies [8], and Bayesian Multi-Species Functional Response models [57], [66].
In terms of estimation, usually cross-sectional or time-series methodology has been applied for testing the beta-convergence hypothesis.
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