Global ETD Search
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Showing 1 to 4 of 4 for “"Time series decomposition"”.
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Complex exponential smoothing
… all exponential smoothing methods are based on time series decomposition and the usage of such components as "level", "trend", "seasonality" and "error". It is assumed that these components may vary from one time series to another and take different forms depending on data characteristics. This …
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Overlapped speech and music segmentation using singular spectrum analysis and random forests
… has increased, and new technologies such as multimedia content management systems, en-hanced digital broadcasting, and semantic web have emerged, audio information mining and automated metadata generation have received much attention. Manual indexing and metadata tagging are time-consuming and …
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Divide and recombined for large complex data: Nonparametric-regression modelling of spatial and seasonal-temporal time series
… emphasis on one specific application of loess on time series decomposition, called Seasonal Trend Loess (STL). The chapter is closed by the introduction of D\&R; (Divide and Recombined) statistical framework. Data can be divided into subsets, each of which is applied with a statistical analysis …
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Thermal and Behavioral Ecology of the Mexican Beaded Lizard (Heloderma horridum)
… strategy because it would be too time intensive to be ecologically feasible. Beaded lizards are also resource limited by the strongly seasonal dry forests that they inhabit, and must carefully budge energy and water reserves to survive. Tb and Te were recorded every 15 minutes from …