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Autocorrelation
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151	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
152	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
153	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
154	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
155	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
156	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
157	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
158	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
159	Tetsuo Sasao and Andr´ e B. Fletcher Introduction to VLBI Systems Chapter 4 Lecture Notes for KVN Students Partly based on Ajou University Lecture Notes Add to Reading List Source URL: www.astro.sci.yamaguchi-u.ac.jp Language: English - Date: 1979-12-31 19:15:56 Applied mathematics Covariance and correlation Time series analysis Stochastic processes Autocorrelation Stationary process Very Long Baseline Interferometry Quantization Nyquist–Shannon sampling theorem Statistics Signal processing Digital signal processing
160	Mon. Not. R. Astron. Socdoi:j20303.x The LABOCA survey of the Extended Chandra Deep Field-South: clustering of submillimetre galaxies Add to Reading List Source URL: www.eso.org Language: English - Date: 2012-01-27 05:21:32 Large-scale structure of the cosmos Redshift Galaxy formation and evolution Cosmic distance ladder Dark matter Autocorrelation Active galactic nucleus Galaxy Quasar Physics Astronomy Physical cosmology

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