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Moving average
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81	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: r.adu.org.za 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
82	http://www.springer.com 2 Nonstationary Time Series In this chapter, models for nonstationary time series are introduced. Before the characteristics of unit Add to Reading List Source URL: www.pfaffikus.de Language: English - Date: 2012-07-05 15:37:59 Dickey–Fuller test Stationary process Autoregressive integrated moving average Trend stationary Time series Random walk Order of integration Autoregressive model Stochastic Statistics Time series analysis Unit root
83	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.uib.no 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
84	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.nexr.com 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
85	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: dssm.unipa.it 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
86	J. Space Weather Space ClimA29 DOI: swsc B.A. Laken et al., Published by EDP Sciences 2013 OPEN Add to Reading List Source URL: www.swsc-journal.org Language: English Time series analysis Signal processing Mathematical finance Moving average Statistical hypothesis testing Mean anomaly Autocorrelation Space weather Signal-to-noise ratio Statistics Science Information
87	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.md.tsukuba.ac.jp 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
88	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.wustl.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
89	Stat 565 (S)ARIMA & Forecasting FebCharlotte Wickham Tuesday, February 4, 14 Add to Reading List Source URL: stat565.cwick.co.nz Language: English - Date: 2014-02-04 12:46:23 Autoregressive integrated moving average Partial autocorrelation function Arima Forecasting Moving-average model Ggplot2 Statistics Time series analysis Noise

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