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Decomposition of time series
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21	Package ‘bfast’ August 28, 2014 Version[removed]Date[removed]Title Breaks For Additive Season and Trend (BFAST) Author Jan Verbesselt [aut, cre], Achim Zeileis [aut], Rob Hyndman [ctb] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-27 18:00:26 Normalized Difference Vegetation Index Breakpoint Decomposition of time series Structural break Phenology Time series EVI Time series analysis Statistics Seasonality
22	DECOMPOSITION OF ENVIRONMENTAL TIME SERIES FROM DIFFERENT UPWELLING AREAS First International CEOS Meeting, Sept[removed]Roy Mendelssohn Add to Reading List Source URL: www.pfeg.noaa.gov Language: English - Date: 2013-08-15 17:00:39
23	APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY Appl. Stochastic Models Bus. Ind., 2005; 21:251–263 Published online in Wiley InterScience (www.interscience.wiley.com). DOI: [removed]asmb.598 Analysis of call centre Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2005-10-07 18:25:07 Singular value decomposition Multivariate statistics Data analysis Numerical linear algebra Singular value Principal component analysis Time series Rank Cluster analysis Algebra Mathematics Linear algebra
24	Accepted by Manufacturing and Service Operations Management Interday Forecasting and Intraday Updating of Call Center Arrivals Haipeng Shen • Jianhua Z. Huang Department of Statistics and Operations Research, Universi Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2007-03-17 14:57:20 Statistical forecasting Data analysis Time series analysis Forecasting Singular value decomposition Forecast error Demand forecasting Principal component analysis Algebra Statistics Linear algebra
25	CONFERENCE ON SEASONALITY, SEASONAL ADJUSTMENT AND THEIR IMPLICATIONS FOR SHORT-TERM ANALYSIS AND FORECASTING[removed]MAY[removed]A new time series model for the seasonal adjustment of economic data Add to Reading List Source URL: epp.eurostat.ec.europa.eu Language: English Seasonal adjustment Time series Forecasting Economic data X12 Calendar effect Autoregressive integrated moving average Demetra+ Decomposition of time series Time series analysis Statistics Seasonality
26	Selecting the best number of synergies in gait: preliminary results on young and elderly people Fiorenzo Artoni, Vito Monaco Silvestro Micera Add to Reading List Source URL: www.cyberlegs.eu Language: English - Date: 2013-05-23 03:28:31 Signal processing Time series analysis Principal component analysis Singular value decomposition Factor analysis Independent component analysis Chemometrics Analysis of variance Electromyography Statistics Multivariate statistics Data analysis
27	Hungarian Central Statistical Office Add to Reading List Source URL: epp.eurostat.ec.europa.eu Language: English Seasonality Demetra+ X-12-ARIMA Autoregressive integrated moving average Decomposition of time series X12 Time series Forecasting Exponential smoothing Time series analysis Statistics Seasonal adjustment
28	Supplementary Methods To determine whether a time series reflects linear or nonlinear processes we compare the out-of-sample forecast skill of a linear model versus an equivalent nonlinear model. To do this, we apply a t Add to Reading List Source URL: simplex.ucsd.edu Language: English - Date: 2008-08-06 22:20:19 Abstract algebra Data analysis Polytopes Simplex Topology Singular value decomposition Chaos theory Vector space Embedding Algebra Mathematics Linear algebra
29	Forecasting European Industrial Production with Multivariate Singular Spectrum Analysis Anatoly Zhigljavskya∗, Hossein Hassania , and Saeed Heravib a Centre for Optimisation and Its Applications, Cardiff School of Mat Add to Reading List Source URL: forecasters.org Language: English - Date: 2010-02-04 17:15:33 Time series analysis Linear algebra Matrix theory Signal processing Data analysis Singular spectrum analysis Static single assignment form Multivariate normal distribution Singular value decomposition Algebra Statistics Mathematics
30	THE HYPERGEOMETRIC PROCESS: A FLEXIBLE PARAMETERIZATION OF M A(∞) TIME SERIES GRAHAM L. GILLER A BSTRACT. We introduce an apparently new parameterisation of the Wold decomposition of a standard Box-Jenkins time series Add to Reading List Source URL: www.gillerinvestments.com Language: English - Date: 2006-08-16 15:05:54 Ordinary differential equations Covariance and correlation Time series analysis Hypergeometric functions Hypergeometric series Generalized hypergeometric function Autocorrelation Gegenbauer polynomials Autocovariance Mathematical analysis Mathematics Mathematical series

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