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Autocorrelation
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171	Forecast Consistency Verification for Climate Models Tressa L. Fowler Barbara G. Brown, Eric Gilleland, Randy Bullock, John Halley Gotway, Caspar Amman, Tara Jensen, Paul Kucera Research Applications Laboratory, NCAR Add to Reading List Source URL: icap.atmos.und.edu Language: English - Date: 2014-11-04 11:58:18 Statistical forecasting Weather prediction National Weather Service Autocorrelation Forecasting Ensemble forecasting Statistics Time series analysis Prediction
172	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.sunet.se 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
173	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.ma.imperial.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
174	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.cardse.net 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
175	Climate Signal Detection Times and Constraints on Climate Benchmark Accuracy Requirements Stephen S. Leroy∗ James G. Anderson Add to Reading List Source URL: map.nasa.gov Language: English - Date: 2007-07-09 11:48:38 Cognition Uncertainty Measurement uncertainty Propagation of uncertainty Autocorrelation Accuracy and precision Climate Statistics Measurement Statistical theory
176	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.mirror.ac.za 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
177 $Georges Matheron / Mathematical morphology / Data analysis / Fractals / Kriging / Log-normal distribution / Multifractal system / Autocorrelation / Normal distribution / Statistics / Geostatistics / Probability theory$	Self-similarity and multiplicative cascade models by F. Agterberg* In his 1978 monograph ‘Lognormal-de Wijsian Geostatistics for Ore Evaluation’, Professor Danie Krige emphasized the scale-independence Add to Reading List Source URL: www.saimm.co.za Language: English - Date: 2015-02-17 06:36:25 Georges Matheron Mathematical morphology Data analysis Fractals Kriging Log-normal distribution Multifractal system Autocorrelation Normal distribution Statistics Geostatistics Probability theory
178	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.igh.cnrs.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
179	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.mtu.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
180	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.sciserv.eu 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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