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Covariance function
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211	Discussion contribution: Lindgren, F., Rue, H. and Lindstr¨om, JAn explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach. To appear in J Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2011-03-23 05:55:28 Monte Carlo methods Geostatistics Computational statistics Spatial data analysis Markov chain Monte Carlo Markov chain Normal distribution Markov random field Covariance function Statistics Probability and statistics Markov models
212	SARMA 2012 Sharp statistical tools Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-16 13:43:30 Spatial data analysis Variogram Kriging Covariance function Regression analysis Covariance Geographic coordinate system Standard deviation Statistics Geostatistics Covariance and correlation
213	Environmental Statistics Peter Guttorp NRCSE Technical Report Series NRCSE-TRS No. 032 Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-08-14 12:46:09 Covariance and correlation Econometrics Interpolation Kriging Regression analysis Covariance function Uncertainty Statistics Geostatistics Spatial data analysis
214	PDF Document Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2012-06-14 12:17:09 Covariance and correlation Determinantal point process Covariance Combinatory logic Inverse function Variance Continuous function Metric Harris chain Statistics Mathematics Mathematical analysis
215	g02 – Correlation and Regression Analysis g02byc NAG C Library Function Document nag_partial_corr (g02byc) Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Partial correlation Covariance Pearson product-moment correlation coefficient Variance Linear regression Regression analysis Matrix Statistics Covariance and correlation Correlation and dependence
216	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: ftp.eenet.ee 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
217	g01 – Simple Calculations on Statistical Data g01epc NAG C Library Function Document nag_prob_durbin_watson (g01epc) Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:06 Regression analysis Covariance and correlation Statistical tests Durbin–Watson statistic Autocorrelation Correlation and dependence Linear regression Durbin Statistical hypothesis testing Statistics Econometrics Time series analysis
218	NEW GENERATION ELECTRIC AND ELECTRONIC LOCKING NEW GENERATION ELECTRIC AND ELECTRONIC LOCKING PRODUCT INFORMATION HIGH SECURITY FULLY MONITORED ELECTRIC DOOR STRIKE Add to Reading List Source URL: www.flamestop.com.au Language: English - Date: 2014-02-11 00:27:07 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
219	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: ftp.heanet.ie 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
220	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.mdx.ac.uk 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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