Time series analysis

Results: 4517



#Item
651Cointegration / Mathematical finance / Time series / Univariate / Stationary process / Statistics / Time series analysis / Econometrics

Analysis of Integrated and Cointegrated Time Series Pfaff

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Source URL: www.pfaffikus.de

Language: English - Date: 2012-07-05 15:40:03
652Econometrics / 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

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,

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Source URL: cran.stat.upd.edu.ph

Language: English - Date: 2004-11-29 04:09:50
653Econometrics / 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

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,

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Source URL: cran.dcc.fc.up.pt

Language: English - Date: 2004-11-29 04:09:50
654Economic model / Economics / Time series analysis / Econometrics / Autoregressive conditional heteroskedasticity

Semiparametric Regression Analysis of Longitudinal Data

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Source URL: www.bm.ust.hk

Language: English - Date: 2006-05-07 22:58:39
655Parametric 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

icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010

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Source URL: cran.mtu.edu

Language: English - Date: 2010-12-19 04:13:33
656Static single assignment form / Signal processing / Singular spectrum analysis / Time series analysis

Forecasts of Nino-34 SST Anomalies Based on Singular Spectrum Analysis Combined with the Maximum Entropy Method contributed by Dmitri Kondrashov and Michael Ghil Department of Atmospheric and Oceanic Sciences, University

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Source URL: iges.org

Language: English - Date: 2012-07-09 13:18:10
657Parametric 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

icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010

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Source URL: mirrors.softliste.de

Language: English - Date: 2010-12-19 04:13:33
658Autoregressive integrated moving average / Arima / Prediction / Box–Jenkins / Autoregressive–moving-average model / Time series / Time series analysis / Statistics / Forecasting

Utilizing Real-World Transportation Data for Accurate Traffic Prediction Bei Pan, Ugur Demiryurek, Cyrus Shahabi Integrated Media System Center University of Southern California Los Angeles, United States {beipan,demiry

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Source URL: infolab.usc.edu

Language: English - Date: 2012-11-29 22:14:42
659Econometrics / 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

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,

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Source URL: cran.csie.ntu.edu.tw

Language: English - Date: 2004-11-29 04:09:50
660Parametric 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

icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010

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Source URL: ftp.igh.cnrs.fr

Language: English - Date: 2010-12-19 04:13:33
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