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Multivariate analysis of covariance
Results: 219

#	Item
161	Microsoft Word - Statistics Workshop at CSA-CSSS 2010.doc Add to Reading List Source URL: www.agronomycanada.com Language: English - Date: 2012-10-30 22:34:42 Regression analysis Multivariate statistics Psychometrics Analysis of covariance Structural equation modeling Mixed model SAS Multivariate analysis Genomics Statistics Statistical methods Analysis of variance
162	Exploiting Sparse Markov and Covariance Structure in Multiresolution Models Myung Jin Choi MYUNGJIN @ MIT. EDU Venkat Chandrasekaran VENKATC @ MIT. EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:21 Covariance and correlation Algebra of random variables Graphical models Covariance matrix Markov random field Multivariate normal distribution Sparse matrix Matrix Normal distribution Statistics Probability theory Data analysis
163	Sparse PCA in High Dimensions Jing Lei, Department of Statistics, Carnegie Mellon Workshop on Big Data and Differential Privacy Simons Institute, Dec, [removed]Based on joint work with V. Q. Vu, J. Cho, and K. Rohe) Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-01-10 12:18:05 Singular value decomposition Data analysis Multivariate statistics Principal component analysis Linear algebra Matrix theory Eigenvalues and eigenvectors Covariance matrix Algebra Statistics Mathematics
164	An Efficient Sparse Metric Learning in High-Dimensional Space via !1 -Penalized Log-Determinant Regularization Guo-Jun Qi [removed] Depart. ECE, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:51 Matrix theory Matrices Multivariate statistics Linear algebra Data analysis Mahalanobis distance Matrix Multivariate normal distribution Covariance matrix Algebra Statistics Mathematics
165	The Newsletter of the R Project News Volume 6/2, May 2006 Add to Reading List Source URL: www.r-project.org Language: English - Date: 2006-05-31 00:25:05 Parametric statistics Econometrics Actuarial science Normal distribution Multivariate normal distribution Linear regression Covariance Kriging Pearson product-moment correlation coefficient Statistics Covariance and correlation Regression analysis
166	Markov-Chain Approximations of Vector Autoregressions: Application of General Multivariate-Normal Integration Techniques Edward S. Knotek II and Stephen J. Terry February 2009; Revised October 2010 Add to Reading List Source URL: kansascityfed.com Language: English - Date: 2010-10-25 13:08:23 Markov models Data analysis Algebra of random variables Vector autoregression Markov chain Multivariate normal distribution Covariance Normal distribution Statistics Covariance and correlation Multivariate statistics
167	Biases in SPSS 12.0 Missing Value Analysis Paul T. vON HIPPEL In addition to SPSS Base software, SPSS Inc. sells a number of add-on packages, including a package called Missing Value Analysis (MVA). In version 12.0, MVA Add to Reading List Source URL: www.utexas.edu Language: English - Date: 2010-09-24 16:30:36 Estimation theory Econometrics Imputation Covariance and correlation Listwise deletion SPSS Variance Expectation–maximization algorithm Multivariate normal distribution Statistics Data analysis Missing data
168	Accepted by Journal of Multivariate Analysis Sparse Principal Component Analysis via Regularized Low Rank Matrix Approximation Haipeng Shen∗and Jianhua Z. Huang† June 7, 2007 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2007-08-08 12:13:02 Multivariate statistics Data analysis Singular value decomposition Matrix theory Principal component analysis Eigenvalues and eigenvectors Covariance matrix Variance Matrix Algebra Statistics Linear algebra
169	A Cautionary Note on Generalized Linear Models for Covariance of Unbalanced Longitudinal Data Jianhua Z. Huanga , Min Chenb , Mehdi Maadooliata , Mohsen Pourahmadia a Department of Statistics, Texas A&M University. Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2011-09-09 09:06:04 Numerical linear algebra Least squares Estimation theory Covariance matrix Cholesky decomposition Normal distribution Multivariate normal distribution Variance Generalized least squares Statistics Regression analysis Data analysis
170	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

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