Time series analysis
Time series analysis for business analytics
... the time series analysis, that has become a wide known and respected research area enormously documented through long ...then, time series analy- sis has become a well-defined ...
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Environmental variables modeling based on remote sensing data using time series analysis: forestry and agricultural applications
... Time series analysis (TSA) (Box et ...regression analysis to compare three MODIS-derived normalized difference indices to monitor fuel moisture content for fire potential assessment, while ...
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Time Series Analysis Using Transprecision Computing
... binary original time series absolute error % result using original implementation (64 bits) result using FlexFloat implementation.. Experiments[r] ...
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TítuloSustainability of Italian budgetary policies: a time series analysis (1862 2013)
... Abstract. The aim of this paper is to empirically investigate the sustainability of Italian national accounts in the years 1862-2013. The focus of the paper concerns applied tests related to the solvency and ...
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Measuring Uncertainty of Traffic Volume on Motorway Concessions: A Time-Series Analysis
... univariate time-series ...a time-series model represents a feasible alternative to assess traffic uncertainty in existing concessions, when long series of traffic data are ...
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Analysis of Financial Time Series, Wiley
... linear time series analysis. As a matter of fact, a linear time series model can be characterized by its ACF, and linear time series modeling makes use of the sample ACF ...
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Event-based time series data preprocessing: application to traffic flow time series
... for time series analysis since the scale of time series data grows exponentially with economic and social de- ...for time series ...for time series that ...
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Técnicas de predicción / Forecasting methods and applications
... on time series forecasting is to learn and apply statistical methods for the analysis of data that have been observed over ...behind time series analysis and forecasting and will ...
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Analysis of temporal and spatial variation of forest A case of study in northeastern Armenia
... Landsat time series stacks with biennial time ...further analysis they use vegetation change tracker (VCT) algorithm specifically for mapping forest change using Landsat time ...
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Time series modeling and synchronization using neural networks
... Time series analysis is an important discipline which deals with the modeling, control and forecast of real-world systems from a set of measured ...linear time series ...many ...
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Artificial neural networks applied to forecasting time series
... in time series forecasting has been the MLP (Multilayer Perceptron) (Bishop, ...in time series forecasting, but rather aspects in which there is no agreement between several authors have been ...
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Analysis of energy prices seasonality
... These spikes (such as the ones that can be seen in the above graph from the period January 1, 2003 until December 31, 2013) happen because of the problems that Cuaresma J. C. et al (2004) say in their paper. Common ...
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Optimizing Functional Network Representation of Multivariate Time Series
... In our method, the four steps neededtotransform raw data sets into a functional network representation are (see Fig. 1 Top) (i) creation of a weighted clique by means of a suitable met[r] ...
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Automatic signal extraction for stationary and non stationary time series by circulant SSA
... …nancial time series, focusing on forecasting and the business cycle ...real time nowcasting of the output gap and Sella, Vivaldo, Groth and Ghil (2016) analyze economic cycles and their synchro- ...
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Reconfigurable system for chaotic time series prediction
... Additionally, to provide more accurate results as well as a real-time prediction, the size of the neural networks need to be increased by adding more layers and neurons. However, the networks architectures will be ...
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Análisis de la pertinencia de las plantaciones forestales en Oaxaca
... Prior to the evaluation of the NDVI time series, the extraction of the area corresponding to the plantations was carried out, for which the limits of each area were used. The product was a portion per ...
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Estudio de correlacin de la Asociacin de PM10 con las principales enfermedades respiratorias en las poblaciones de Mexicali, Baja California y el Condado Imperial, California
... analizadas series de tiempo para los años de 1997 al 2000. Las series de tiem- po de la calidad del aire, específicamente de PM10, fueron pro- porcionadas por una red de estaciones de monitoreo ambiental ...
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Dynamic clustering of time series with Echo State Networks
... the time series that is presented as ...to time series coming from medical applications [4], but there is much margin for improving our knowledge of both the fundamental analysis of ...
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SOME CASES OF CROSSOVER BEHAVIOR IN HEART INTERBEAT AND ELECTROSEISMIC TIME SERIES
... interbeat time series (RR-series) from an 1 /f -like behavior cor- responding to young individuals up to distinct degrees of deviation from this behavior expressed by crossovers in log-log plots of ...
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Time series variability tree for fast light curve retrieval
... of time series called ...every time series in the dataset and adding the resultant subsequences to the tree that has been previously ...
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