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Covariance function
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61	Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function Jianqing FAN, Tao H UANG, and Runze L I Improving efficiency for regression coefficients and predicting trajectories of individuals are Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2007-05-30 15:14:52 Econometrics Linear regression M-estimator Maximum likelihood Correlation and dependence Multivariate normal distribution Variance Linear model Normal distribution Statistics Regression analysis Estimation theory
62	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: mirrors.softliste.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
63	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.cnr.berkeley.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
64	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.parentingamerica.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
65	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.itam.mx 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
66	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: mirrors.dotsrc.org 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
67	R Reference Card by Tom Short, EPRI PEAC, Granted to the public domain. See www.Rpad.org for the source and latest version. Includes material from R for Beginners by Emmanuel Paradis (with Add to Reading List Source URL: star-www.st-andrews.ac.uk Language: English - Date: 2004-11-29 04:02:09 Covariance and correlation Linear algebra Functions and mappings Abstract algebra Elementary mathematics Function Normal distribution Vector space Logarithm Mathematics Algebra Mathematical analysis
68	Stat 565 Some Basic Time Series Models JanCharlotte Wickham Monday, January 20, 14 Add to Reading List Source URL: stat565.cwick.co.nz Language: English - Date: 2014-01-22 12:34:56 Noise Stochastic processes Signal processing Autocovariance Covariance function Autocorrelation White noise Stationary process Autoregressive model Statistics Time series analysis Covariance and correlation
69	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: brieger.esalq.usp.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
70	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.at.r-project.org 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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