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Covariance function
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341	U.S. Department of Commerce National Oceanic and Atmospheric Administration National Weather Service National Centers for Environmental Prediction 5200 Auth Road Camp Springs, MD[removed] Add to Reading List Source URL: www.lib.ncep.noaa.gov Language: English - Date: 2002-01-22 02:34:21 Image processing Gaussian function Computer vision Linear filters Covariance and correlation Data assimilation Gaussian filter Convolution Digital filter Statistics Mathematics Mathematical analysis
342	Crossdating in dplR Andy Bunn Mikko Korpela Processed with dplR[removed]in R version[removed]25) on April 25, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:40:20 Autocorrelation Cross-correlation Dendrochronology Correlation function Covariance and correlation Statistics Correlation and dependence
343	U.S. Department of Commerce National Oceanic and Atmospheric Administration National Weather Service National Centers for Environmental Prediction 5200 Auth Road Camp Springs, MD[removed] Add to Reading List Source URL: www.lib.ncep.noaa.gov Language: English - Date: 2002-01-22 02:31:26 Control theory Linear filters Maximum likelihood Kalman filter Data assimilation Likelihood function Covariance matrix Normal distribution Bayesian linear regression Statistics Estimation theory Bayesian statistics
344	Time Series Analysis in dplR Andy Bunn Mikko Korpela Processed with dplR[removed]in R version[removed]25) on April 25, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:40:20 Regression analysis Functional analysis Noise Partial autocorrelation function Autocorrelation Moving-average model Time series Autoregressive conditional heteroskedasticity Autoregressive integrated moving average Statistics Time series analysis Covariance and correlation
345	ERDC/EL TR[removed]Wetlands Research Program A Regional Guidebook for Applying the Hydrogeomorphic Approach to Assessing Add to Reading List Source URL: el.erdc.usace.army.mil Language: English - Date: 2013-10-23 19:29:11 Covariance and correlation Statistical dependence Aquatic ecology Wetland Ecology Correlation and dependence Function Correlation Mathematics Variables Elementary mathematics
346	C:/Users/sang/Documents/Jun/MultiPIC_SangJunV8_mj_tex/AOAS-SJH-figures/SJH_AOAS_R2-final-mj.dvi Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2011-06-20 14:22:44 Econometrics Geostatistics Algebra of random variables Linear regression Covariance matrix Kriging Covariance function Maximum likelihood Regression analysis Statistics Covariance and correlation Estimation theory
347	Estimation of Large Covariance Matrices of Longitudinal Data with Basis Function Approximations Jianhua Z. Huang, Linxu Liu and Naiping Liu ∗ Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2006-07-10 10:26:41 Multivariate normal distribution Generalized least squares Maximum likelihood Cholesky decomposition Normal distribution Covariance Smoothing spline Linear regression B-spline Statistics Regression analysis Estimation theory
348	C:/Users/sang/Documents/Jianhua/JRSSB-R2 (1)/JRSSB-R2/JRSSB-SH-final/JRSSB-SH-final.dvi Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2011-06-20 14:00:02 Spatial data analysis Data analysis Summary statistics Covariance function Covariance Kriging Multivariate normal distribution Normal distribution Linear regression Statistics Covariance and correlation Geostatistics
349	Time Series Covariance Estimation via Spectral Density Sergii Babkin, Oleg Melnikov. [removed], [removed] Research Advisor: Katherine B. Ensor, Rice University, Dept. of Statistics Ever increasi Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:56:21 Covariance and correlation Fourier analysis Digital signal processing Time series analysis Periodogram Spectral density Cross-correlation Covariance function Coherence Statistics Signal processing Mathematical analysis
350	Running Descriptive Statistics: Sample and Population Values Goal This exercise is an introduction to a few of the variables in the household-level and person-level LIS data sets. The exercise concentrates on job syntax, Add to Reading List Source URL: www.lisdatacenter.org Language: English - Date: 2011-12-28 07:02:54 Summary statistics Mathematical analysis Scientific method Mean Sample mean and sample covariance SPSS Luxembourg Income Study Weight function Variable Statistics Mathematics Information

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