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Moving average
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111	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: ftp.igh.cnrs.fr 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
112	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.mtu.edu 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
113	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.sciserv.eu 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
114	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: dirichlet.mat.puc.cl 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
115	Travel and Transportation in the Age of BigData Ugur Demiryurek, Ph.D. Associate Director, Integrated Media Systems Center (IMSC) Viterbi School of Engineering Add to Reading List Source URL: imsc.usc.edu Language: English - Date: 2015-04-06 13:09:58 Analytics Mathematical finance Autoregressive integrated moving average Business Data management Business intelligence Formal sciences Statistics
116	C R Rao Advanced Institute of Mathematics, Statistics & Computer Science (AIMSCS) University of Hyderabad Campus, Gachibowli Prof. C R Rao Road, Hyderabad, IndiaWebsite: http://crraoaimscs.org SHORT TERM COURSE Add to Reading List Source URL: www.crraoaimscs.org Language: English - Date: 2015-02-04 06:40:53 Statistical models Statistical forecasting Time series Regression analysis Autoregressive–moving-average model Predictive analytics Economic model Forecasting Linear model Statistics Information Time series analysis
117	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.stat.upd.edu.ph 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
118	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.dcc.fc.up.pt 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
119	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 Add to Reading List Source URL: infolab.usc.edu Language: English - Date: 2012-11-29 22:14:42 Autoregressive integrated moving average Arima Prediction Box–Jenkins Autoregressive–moving-average model Time series Time series analysis Statistics Forecasting
120	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.csie.ntu.edu.tw 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

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