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Variance decomposition
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11	Positive Semidefinite Integrated Covariance Estimation, Factorizations and Asynchronicity Kris Boudt, Sébastien Laurent, Asger Lunde and Rogier Quaedvlieg CREATES Research Paper Add to Reading List Source URL: econ.au.dk Language: English - Date: 2014-02-25 03:07:30 Covariance and correlation Numerical linear algebra Multivariate statistics Estimation of covariance matrices Covariance matrix Cholesky decomposition Principal component analysis Covariance Variance Statistics Data analysis Estimation theory
12	Joint Statistics Seminar The Hong Kong University of Science and Technology Organized by Department of Information Systems, Business Statistics and Operations Management Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2014-11-13 03:12:02 Data analysis Econometrics Actuarial science Correlation and dependence Variance Cholesky decomposition André-Louis Cholesky Longitudinal study Regression analysis Statistics Covariance and correlation Numerical linear algebra
13	REDUCED SPACE APPROACH TO THE OPTIMAL ANALYSIS OF HISTORICAL MARINE OBSERVATIONS: ACCOMPLISHMENTS, DIFFICULTIES, AND PROSPECTS A. Kaplan, M.A. Cane and Y. Kushnir, Lamont-Doherty Earth Observatory of Add to Reading List Source URL: rainbow.ldeo.columbia.edu Language: English - Date: 2004-07-15 15:09:42 Spatial data analysis Singular value decomposition Control theory Principal component analysis Data assimilation Singular spectrum analysis Covariance Kalman filter Variance Statistics Covariance and correlation Data analysis
14	Running a Principal Component Analysis (PCA) with XLSTAT demoPCA.xls Dataset for running a Principal Component Analysis An Excel sheet containing both the data and the results for use in this tutorial can be downloaded Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-11-17 10:33:22 Data analysis Singular value decomposition Principal component analysis Econometrics XLSTAT Eigenvalues and eigenvectors Regression analysis Biplot Variance Statistics Algebra Multivariate statistics
15	Running a Principal Component Analysis (PCA) with XLSTAT demoPCA.xls Dataset for running a Principal Component Analysis An Excel sheet containing both the data and the results for use in this tutorial can be downloaded Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 10:33:22 Data analysis Singular value decomposition Principal component analysis Econometrics XLSTAT Eigenvalues and eigenvectors Regression analysis Biplot Variance Statistics Algebra Multivariate statistics
16	Microsoft PowerPoint - El Mostafa Qannari--EMQBeijing Add to Reading List Source URL: www.rocq.inria.fr Language: English - Date: 2013-03-26 05:35:35 Covariance and correlation Singular value decomposition Principal component analysis Covariance matrix Variance Linear discriminant analysis Covariance Matrix Factor analysis Statistics Multivariate statistics Data analysis
17	Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 139: 524–533, January 2013 B Sensitivity of analysis error covariance to the mis-specification of background error covariance Add to Reading List Source URL: smsc.cnes.fr Language: English - Date: 2014-01-14 08:10:20 Covariance and correlation Singular value decomposition Control theory Multivariate statistics Principal component analysis Data assimilation Covariance matrix Variance Eigenvalues and eigenvectors Statistics Algebra Data analysis
18	Microsoft Word - Superimposition Errors in the IMP3D Software.doc Add to Reading List Source URL: www3.canisius.edu Language: English - Date: 2006-10-20 22:01:30 Multivariate statistics Numerical linear algebra Matrix theory Data analysis Singular value decomposition Rotation matrix Procrustes analysis Variance Matrix Statistics Algebra Linear algebra
19	29 Exercises ChapterData file 10p1.mat contains 100 data points drawn from the same two-dimensional distribution as those in figureFit a mixture Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2010-10-24 07:46:27 Statistical models Singular value decomposition Cluster analysis Normal distribution Principal component analysis Matrix Independent component analysis Factor analysis Variance Statistics Multivariate statistics Data analysis
20	A tutorial on Principal Components Analysis Lindsay I Smith February 26, 2002 Chapter 1 Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-12-18 23:34:32 Summary statistics Singular value decomposition Multivariate statistics Principal component analysis Covariance matrix Eigenvalues and eigenvectors Variance Covariance Standard deviation Statistics Data analysis Covariance and correlation

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