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Time series analysis
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#	Item
711	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.salud.gob.sv 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
712	Joint Statistics Seminar The Hong Kong University of Science and Technology GARCH Model with Ergodic and Stationary Rescaled Errors by Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2009-02-02 21:58:08 Autoregressive conditional heteroskedasticity Heteroscedasticity Estimator Time series Heteroscedasticity-consistent standard errors Statistics Econometrics Time series analysis
713	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.cnr.berkeley.edu Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
714	Proceedings of the 2005 International Conference on Simulation and Modelling V. Kachitvichyanakul, U. Purintrapiban, and P. Uthayopas, eds. MODELLING AND FORECASTING DYNAMIC VAR THRESHOLDS FOR RISK MANAGEMENT AND REGULAT Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 22:01:18 Financial risk Economics Mathematical sciences Econometrics Autoregressive conditional heteroskedasticity Time series analysis RiskMetrics Stochastic volatility Value at risk Statistics Mathematical finance Actuarial science
715	DEUTERIUM ARRAY MEMO #060 MASSACHUSETTS INSTITUTE OF TECHNOLOGY HAYSTACK OBSERVATORY WESTFORD, MASSACHUSETTSNovember 1, 2004 Add to Reading List Source URL: www.haystack.mit.edu Language: English - Date: 2006-04-20 10:01:15 Time series analysis Correlation and dependence Statistical dependence Autocorrelation Beam diameter I-beam Statistics Covariance and correlation Signal processing
716	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.espol.edu.ec Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
717	ATCF Requirements, Intensity Consensus Sea Heights Consistent with NHC Forecasts (Progress Report) Presenter Buck Sampson (NRL Monterey) Investigators Add to Reading List Source URL: www.nhc.noaa.gov Language: English - Date: 2010-03-22 08:17:28 Statistics Data analysis Forecasting Time series analysis Forecast error Tropical cyclone forecast model Hurricane Weather Research and Forecasting model Statistical forecasting Atmospheric sciences Meteorology
718	StatTRANSFORMING TO REMOVE SERIAL CORRELATION FebCharlotte Wickham Add to Reading List Source URL: stat512.cwick.co.nz Language: English - Date: 2015-03-03 12:52:14 Time series analysis Statistical dependence Regression analysis Correlation and dependence Autocorrelation Correlation Statistics Covariance and correlation Econometrics
719	Research in Business and Economics Journal Nonlinear mean-reversion in the real exchange rate: evidence from a panel of OECD countries Hassan Shirvani University of St Thomas Add to Reading List Source URL: www.aabri.com Language: English - Date: 2012-01-21 11:12:59 Econometrics Statistical tests International economics Foreign exchange market Economic indicators Purchasing power parity Unit root Dickey–Fuller test Stationary process Economics Statistics Time series analysis
720	Crossing Over the Bounded Domain: From Exponential To Power-law Inter-meeting Time in MANET Han Cai and Do Young Eun Department of Electrical and Computer Engineering North Carolina State University Raleigh, NC 27695 Add to Reading List Source URL: www.sigmobile.org Language: English - Date: 2013-08-14 12:38:30 Network theory Statistics Economics Autoregressive conditional heteroskedasticity Econometrics Time series analysis

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