<--- Back to Details
First PageDocument Content
Estimation theory / Bayesian statistics / Algebra of random variables / Covariance / Data assimilation / Variance / Ensemble Kalman filter / Two-dimensional singular value decomposition / Statistics / Covariance and correlation / Data analysis
Date: 2007-08-01 12:24:51
Estimation theory
Bayesian statistics
Algebra of random variables
Covariance
Data assimilation
Variance
Ensemble Kalman filter
Two-dimensional singular value decomposition
Statistics
Covariance and correlation
Data analysis

Data assimilation workshop 3D-Var exercise Prepared by Junjie Liu July 26th,

Add to Reading List

Source URL: www.jcsda.noaa.gov

Download Document from Source Website

File Size: 709,80 KB

Share Document on Facebook

Similar Documents

The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions Jianhua Z. Huang, Haipeng Shen and Andreas Buja Abstract Two-way functional data consist of a data matrix whose row and colu

The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions Jianhua Z. Huang, Haipeng Shen and Andreas Buja Abstract Two-way functional data consist of a data matrix whose row and colu

DocID: 163FX - View Document

29  Exercises ChapterData file 
10p1.mat contains 100 data points drawn from the same two-dimensional distribution as those in figureFit a mixture

29 Exercises ChapterData file 10p1.mat contains 100 data points drawn from the same two-dimensional distribution as those in figureFit a mixture

DocID: 142XI - View Document

Modeling two-dimensional anisotropic photonic crystals by Dirichlet-to-Neumann maps Huan Xie1,2,3,∗ and Ya Yan Lu3 1 Joint

Modeling two-dimensional anisotropic photonic crystals by Dirichlet-to-Neumann maps Huan Xie1,2,3,∗ and Ya Yan Lu3 1 Joint

DocID: Yqb2 - View Document

Data assimilation workshop 3D-Var exercise Prepared by Junjie Liu July 26th,

Data assimilation workshop 3D-Var exercise Prepared by Junjie Liu July 26th,

DocID: W79Q - View Document

N-Dimensional Principal Component Analysis Hongchuan YU and Jian J. ZHANG NCCA, Bournemouth University Abstract In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques

N-Dimensional Principal Component Analysis Hongchuan YU and Jian J. ZHANG NCCA, Bournemouth University Abstract In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques

DocID: R0k9 - View Document