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Multivariate analysis of covariance
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71	On the Privacy Preserving Properties of Random Data Perturbation Techniques Hillol Kargupta and Souptik Datta Computer Science and Electrical Engineering Department University of Maryland Baltimore County Baltimore, Mary Add to Reading List Source URL: www.csee.umbc.edu Language: English - Date: 2006-07-26 01:44:00 Probability theory Data analysis Matrices Mathematical physics Multivariate statistics White noise Matrix Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
72	A Guide to SPSS Table of Contents Using SPSS ....................................................................................................................................................... 4 Opening SPSS ...... Add to Reading List Source URL: precisionconsultingcompany.com Language: English - Date: 2014-09-14 10:04:23 Analysis of variance SPSS Econometrics Statistical methods Analysis of covariance Data analysis General linear model MANCOVA Structural equation modeling Statistics Multivariate statistics Regression analysis
73	2528 JOURNAL OF CLIMATE VOLUME 14 Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2001-06-20 14:30:40 Principal component analysis Correlation and dependence Differential equation Canonical correlation Nonlinear system Pearson product-moment correlation coefficient Covariance Nonlinear regression Statistics Covariance and correlation Multivariate statistics
74	Ch.3 Canonical correlation analysis (CCA) [Book, Sect[removed]With 2 sets of variables {xi } and {yj }, canonical correlation analysis (CCA), first introduced by Hotelling (1936), finds the linear modes of maximum correlat Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-08-27 00:35:14 Algebra of random variables Canonical correlation Covariance Statistics Covariance and correlation Multivariate statistics
75	Canonical Correlation Clarified by Singular Value Decomposition William H. Press May 28, 2011 The Setup You have a number n of data points, each one of which is a paired measurement Add to Reading List Source URL: nr.com Language: English - Date: 2011-05-28 14:30:36 Numerical linear algebra Matrix theory Multivariate statistics Covariance and correlation Singular value decomposition Canonical correlation Principal component analysis Matrix Variance Algebra Linear algebra Mathematics
76	Chapter 4: Formulating the Predictor Variables Chapter 3 focused on the construction of a gridded daily rainfall dataset, which will form the response variable in the statistical model that is the goal of this thesis. Th Add to Reading List Source URL: www.cru.uea.ac.uk Language: English - Date: 2009-12-22 04:43:50 Data analysis Multivariate statistics Singular value decomposition Abstract algebra Linear algebra Principal component analysis Eigenvalues and eigenvectors Covariance matrix Variance Statistics Algebra Mathematics
77	694 Journal of the American Statistical Association, June 2009 Discussion Boaz NADLER Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2009-06-16 05:02:26 Data analysis Singular value decomposition Covariance and correlation Principal component analysis Linear algebra Eigenvalues and eigenvectors Covariance matrix Matrix Variance Statistics Algebra Multivariate statistics
78	Multivariate Eigenvalue Problem: Algebraic Theory and Power Method Moody T. Chu and J. Loren Watterson Add to Reading List Source URL: www4.ncsu.edu Language: English - Date: 2004-12-09 14:07:24 Data analysis Multivariate statistics Singular value decomposition Algebra of random variables Covariance matrix Eigenvalues and eigenvectors Covariance Canonical correlation Variance Statistics Algebra Covariance and correlation
79	Multiresolution Gaussian Processes David B. Dunson Dept of Statistical Science, Duke University Emily B. Fox Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-11-29 10:36:17 Covariance function Covariance Correlation and dependence Cluster analysis Statistics Covariance and correlation Multivariate normal distribution
80	Linear Discriminant Analysis (LDA) Dr. Saed Sayad University of Toronto[removed]removed] Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-02-16 21:34:50 Statistical classification Regression analysis Linear discriminant analysis Mahalanobis distance Linear model Covariance Statistics Multivariate statistics Covariance and correlation