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Moving average
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91	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.csiro.au 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
92	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: rweb.quant.ku.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
93	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.espol.edu.ec 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
94	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.uni-muenster.de 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
95	17 MOVING BEYOND PLAGIARIZED / NOT PLAGIARIZED IN A POINT, CLICK, AND COPY WORLD Leslie Johnson-Farris My journey from ordinary, average community college composition instructor to intellectual property rights pedagogica Add to Reading List Source URL: wac.colostate.edu Language: English - Date: 2011-10-09 17:56:47 Knowledge Law Writing Academic dishonesty Fair use Credit Copyright law of the United States Copyright Turnitin Education Intellectual property law Plagiarism
96	Stat 565 Fitting ARMA Models JanCharlotte Wickham Saturday, February 1, 14 Add to Reading List Source URL: stat565.cwick.co.nz Language: English - Date: 2014-02-01 13:25:54 Noise Autoregressive integrated moving average Time series Partial autocorrelation function Moving-average model Arma Autocorrelation Seasonality Statistics Time series analysis Covariance and correlation
97	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.case.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
98	The Effect of B Share Market Reform on Volatility Spillovers and Changes in Correlation between Chinese A and B Shares Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 17:54:35 Econometrics Economics Autoregressive conditional heteroskedasticity Covariance and correlation Financial risk Mathematical sciences Volatility Correlation and dependence Autoregressive–moving-average model Time series analysis Statistics Mathematical finance
99	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.gis-lab.info 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
100	3 month moving average Employment Diff Nov 09 Add to Reading List Source URL: pwc.com.au Language: English - Date: 2015-02-15 23:35:01

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