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Time series analysis
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#	Item
701	Package Development in R: Implementing GO-GARCH models Dr. Bernhard Pfaff Invesco Asset Management Deutschland GmbH, Frankfurt am Main Add to Reading List Source URL: www.pfaffikus.de Language: English - Date: 2012-07-05 15:38:17 Time series analysis Autoregressive conditional heteroskedasticity Data analysis Covariance matrix Normal distribution Matrix Covariance Statistics Covariance and correlation Econometrics
702	Value at Risk Estimation using Extreme Value Theory Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 23:48:05 Mathematical finance Econometrics Autoregressive conditional heteroskedasticity Time series analysis Extreme value theory Generalized extreme value distribution RiskMetrics Financial risk modeling Expected shortfall Statistics Actuarial science Financial risk
703	Blv. Zhan d’Ark , No. 3 Tirana, 1001 Tel: +Faks: + Add to Reading List Source URL: www.instat.gov.al Language: English - Date: 2015-04-03 04:31:03 Gross Domestic Product Seasonality Seasonal adjustment Gross value added National accounts Time series analysis Statistics
704	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.repo.bppt.go.id Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
705	Modelling Urban Development in New Zealand Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:49:27 Forecasting Statistical forecasting Time series analysis Regions of New Zealand Resource Management Act Regression analysis Linear regression Statistics Econometrics Data analysis
706	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran-r.c3sl.ufpr.br Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
707	Fast Computation of First-Order Feature-Bispectrum Corrections Peter Adshead1 and Wayne Hu1, 2 arXiv:1203.0012v1 [astro-ph.CO] 29 Feb Add to Reading List Source URL: background.uchicago.edu Language: English - Date: 2015-01-06 12:05:25 Image processing Integral transforms Bispectrum Time series analysis Mathematical analysis Fourier analysis Complex analysis
708	1 Improvements in Remote Cardio-Pulmonary Measurement Using a Five Band Digital Camera Daniel McDuff, Student Member, IEEE, Sarah Gontarek, and Rosalind W. Picard, Fellow, IEEE Add to Reading List Source URL: affect.media.mit.edu Language: English - Date: 2014-05-12 10:08:00 Time series analysis Statistics Time–frequency analysis Spectrogram RGB color model Heart rate monitor Spectral density Image noise Medicine Signal processing Cardiology Heart rate variability
709	Microsoft Word - simmod_paper11.doc 21.doc Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 22:04:44 Technical analysis Economics Econometrics Time series analysis Autoregressive conditional heteroskedasticity Volatility clustering Stochastic volatility Volatility Time series Mathematical finance Statistics Financial economics
710	Prof. Dr. Peter von der Lippe www.von-der-lippe.org Problems with Chain Indices (IV) (Seasonal adjustment, Time aggregation, Add to Reading List Source URL: www.von-der-lippe.org Language: English - Date: 2014-01-02 06:50:54 Benchmarking Time series Von der Lippe European Central Bank European Union Economics Time series analysis Seasonality Seasonal adjustment

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