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Partial correlation
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21	Influence and Correlation in Social Networks Aris Anagnostopoulos Ravi Kumar Mohammad Mahdian Add to Reading List Source URL: mahdian.org Language: English - Date: 2012-02-09 17:37:32 Science Statistical dependence Correlation and dependence G factor Durbin–Watson statistic Partial correlation Information Covariance and correlation Statistics
22	0.1 ARIMA: ARIMA Models for Time Series Data Use auto-regressive, integrated, moving-average (ARIMA) models for time series data. A time series is a set of observations ordered according to the time they were observed. Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Covariance and correlation Signal processing Estimation theory Autoregressive integrated moving average Partial autocorrelation function Time series Causality Correlogram Autocorrelation Statistics Time series analysis Regression analysis
23	BIOINFORMATICS ORIGINAL PAPER Vol. 22 no, pages 2488–2492 doi:bioinformatics/btl419 Add to Reading List Source URL: www.bioreg.kyushu-u.ac.jp Language: English - Date: 2012-03-14 12:45:10 Parametric statistics Correlation and dependence Statistical dependence Partial correlation Pearson product-moment correlation coefficient Sequence alignment Matrix Linear regression Protein–protein interaction prediction Statistics Covariance and correlation Bioinformatics
24	DOC Document Add to Reading List Source URL: cob.jmu.edu Language: English - Date: 2007-12-14 11:41:19 Covariance and correlation Econometrics Autoregressive conditional heteroskedasticity Economic bubble Chaotic bubble Bubble Autocorrelation Partial autocorrelation function Stock market Statistics Economics Time series analysis
25	PDF Document Add to Reading List Source URL: ftp.cixug.es Language: English 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
26	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: www.icesi.edu.co 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
27	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.utstat.utoronto.ca Language: English 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
28	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.fyxm.net 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
29	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.ms.unimelb.edu.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
30	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: nbcgib.uesc.br 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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