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Analysis of covariance
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341	Microsoft PowerPoint - Edwin Diday--Beijing 3 Symbolic data analysis of complex data Add to Reading List Source URL: www.rocq.inria.fr Language: English - Date: 2013-03-26 05:35:33 Statistics Covariance and correlation Scientific method Logical syntax Variables Random variable Economic model Correlation and dependence Data analysis Mathematics Science Statistical dependence
342	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
343	Supplement Figure S1. Vertical profiles of the square roots of the diagonal elements of the covariance matrices C for different latitude bins in the southern (left) and northern (right) hemispheres. These quantities are Add to Reading List Source URL: www.atmos-meas-tech.net Language: English - Date: 2014-12-03 11:49:56 Covariance and correlation Data analysis Singular value decomposition Matrices Summary statistics Ozone depletion Correlation and dependence Eigenvalues and eigenvectors Covariance matrix Algebra Statistics Mathematics
344	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
345	Statistical Inference and Learning- Ex-4 Jonathan Rosenblatt and Boaz Nadler due Feb. 15, 2015 Q1 A continuous time Martingale is a stochastic process defined as follows. Let X(t) be a sequence of random variables with a Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2015-01-29 08:44:15 Covariance and correlation Data analysis Singular value decomposition Matrices Probability theory Covariance Principal component analysis Martingale Eigenvalues and eigenvectors Statistics Algebra Mathematics
346	Principal Components Analysis - SPSS In principal components analysis (PCA) and factor analysis (FA) one wishes to extract from a set of p variables a reduced set of m components or factors that accounts for most of th Add to Reading List Source URL: core.ecu.edu Language: English - Date: 2014-12-10 19:44:31 Data analysis Covariance and correlation Singular value decomposition Factor analysis Principal component analysis Varimax rotation Eigenvalues and eigenvectors Variance Linear regression Statistics Multivariate statistics Regression analysis
347	Biochem. J, Printed in Great Britain) Add to Reading List Source URL: bip.cnrs-mrs.fr Language: English - Date: 2014-08-12 07:20:37 Covariance and correlation Mathematical and theoretical biology Metabolic control analysis Metabolism Systems biology Correlation and dependence Propagation of uncertainty Coefficient Matrix Statistics Mathematics Regression analysis
348	Detecting Spatially Localized Subsets of Leading Indicators for Event Prediction Daniel B. Neill Event and Pattern Detection Laboratory H.J. Heinz III College, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-05-30 15:25:11 Covariance and correlation Statistical dependence Regression analysis Cosmic distance ladder Economic indicator Statistics Econometrics Correlation and dependence
349	Efficient Stochastic Methods: Profiled Attacks Beyond 8 Bits Omar Choudary and Markus G. Kuhn Computer Laboratory, University of Cambridge Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2014-10-27 10:40:36 Multivariate statistics Singular value decomposition Data analysis Matrix theory Principal component analysis Linear discriminant analysis Eigenvalues and eigenvectors Multivariate normal distribution Covariance matrix Statistics Algebra Linear algebra
350	The Economic Society of Australia Inc. Proceedings of the 37th Australian Add to Reading List Source URL: www.ace08.com.au Language: English - Date: 2008-10-28 06:40:46 Time series analysis Econometrics Autoregressive conditional heteroskedasticity Covariance and correlation Time series Volatility Correlation and dependence Variance Stochastic volatility Statistics Mathematical finance Technical analysis

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