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Using emergent clustering methods to analyse short time series gene expression data from childhood leukemia treated with glucocorticoids

• Authors : Chaiboonchoe, Amphun; Samarasinghe, Sandhya; Kulasiri, Don D.

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Hybrid computational intelligence systems based on statistical and neural networks methods for time series forecasting: the case of gold price

• Authors : Matroushi, Saeed M. M. S.

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Modeling Glacier Elevation Change from DEM Time Series

• Authors : Di Wang; Andreas Kääb

• Source: Remote Sensing.

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Mikosch, T. Infinite Variance Time Series, p 329-333

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E.J. Hannan, Time series, p 101-119

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GEOSTATISTICAL ANALYSIS OF SURFACE TEMPERATURE AND IN-SITU SOIL MOISTURE USING LST TIME-SERIES FROM MODIS

• Authors : M. Sohrabinia; W. Rack; P. Zawar-Reza

• Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

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Spectral classification of crop groups for land use identification with temporally sparse time-series satellite images

• Authors : North, H. C.; Pairman, D.; Belliss, S. E.

• Source: North HC, Pairman D, Belliss SE, McNeill SJ, Cuff J, Hill Z 2013. Spectral classification of crop groups for land use identification with temporally sparse time-

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Climate variability, weather and enteric disease incidence in New Zealand: time series analysis.

• Authors : Aparna Lal; Takayoshi Ikeda; Nigel French

• Source: PLoS ONE.

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Table: Government - Balance sheet time series (selected itemised categories) 2007–2016 - Table from The Treasury. Charts and maps of this data are available on Figure.NZ.

• Authors : Figure.NZ

• Source: The Treasury.

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Table: Government - Balance sheet time series 2003–2016 - Table from The Treasury. Charts and maps of this data are available on Figure.NZ.

• Authors : Figure.NZ

• Source: The Treasury.

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