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Moving average
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131	Curriculum Vitae for WAI KEUNG LI Ph. D. Department of Statistics & Actuarial Science Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2014-10-29 02:24:37 Autoregressive conditional heteroskedasticity Time series Linear regression Unit root test Autoregressive–moving-average model Akaike information criterion Autoregressive conditional duration Threshold model Heteroscedasticity Statistics Time series analysis Econometrics
132	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.repo.bppt.go.id 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
133	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-r.c3sl.ufpr.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
134	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.salud.gob.sv 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
135	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: mirror.its.dal.ca 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
136	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.xl-mirror.nl 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
137	A Moving Average based Filtering System with its Application to Real-time QRS Detection HC Chen, SW Chen Department of Electronic Engineering, Chang Gung University, Taiwan Abstract This paper presents a novel real-time Add to Reading List Source URL: cinc.org Language: English - Date: 2003-11-16 15:01:12 Electronic engineering Electrocardiography QRS complex T wave Matched filter Digital signal processing High-pass filter Cardiac electrophysiology Signal processing Biology
138	A Note on the Invertibility of Nonlinear ARMA models Kung-Sik Chan Department of Statistics & Actuarial Science University of Iowa, Iowa City, IA 52242, U.S.A. Email: Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2009-06-02 14:03:05 Statistical models Moving-average model Linear model Invertible knot Recurrence relation Statistics Regression analysis Noise
139	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.univ-lyon1.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
140	Monetary & Financial Statistics: MarchThe treatment of securitisations and loan transfers when seasonally adjusting using X-12-ARIMA By Martin Daines Tel: Add to Reading List Source URL: www.bankofengland.co.uk Language: English - Date: 2015-04-13 10:54:44 Seasonal adjustment Autoregressive integrated moving average X-12-ARIMA X12 Bank Adjustment Statistics Time series analysis Seasonality

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