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Multivariate analysis of covariance
Results: 219

#	Item
41	Estimation of Multivariate Cumulative Processes Add to Reading List Source URL: www.complex-systems.com Language: English - Date: 2012-09-20 14:36:17 Probability theory Algebra of random variables Integral transforms Normal distribution Central limit theorem Multivariate normal distribution Laplace–Stieltjes transform Covariance Variance Statistics Mathematical analysis Probability and statistics
42	➠ ➡ HIERARCHICAL CORRELATION COMPENSATION FOR HIDDEN MARKOV MODELS Hui Lin, Ye Tian, Jian-Lai Zhou, Hui Jiang** Dept. of Electronic Engineering, Tsinghua University, Beijing, China Add to Reading List Source URL: research.microsoft.com Language: English* - Date: 2009-08-10 10:41:28 Data analysis Algebra of random variables Summary statistics Covariance matrix Covariance Matrix Mixture model Linear discriminant analysis Hidden Markov model Statistics Covariance and correlation Multivariate statistics
43	PDF Document Add to Reading List Source URL: gss.civilservice.gov.uk Language: English - Date: 2014-02-07 05:34:08 Multivariate statistics Statistical tests Econometrics Analysis of covariance One-way ANOVA F-test Multivariate analysis of variance Dummy variable Linear regression Statistics Analysis of variance Regression analysis
44	Use of Covariance Matrices for Estimating Uncertainties in Reactor Calculations ˇ Gaˇsper Zerovnik ”Joˇzef Stefan” Institute Jamova cesta 39 Add to Reading List Source URL: www.djs.si Language: English - Date: 2013-11-20 15:37:56 Regression analysis Algebra of random variables Propagation of uncertainty Monte Carlo method Multivariate normal distribution Neutron Covariance Least squares Statistics Probability and statistics Numerical analysis
45	Analysis of Spokane CO data Peter Guttorp NRCSE Technical Report Series NRCSE-TRS No. 002 Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-08-14 12:45:00 Interpolation Kriging Multivariate interpolation Variogram Covariance function Sampler Spokane Washington Spatial dependence Random field Statistics Geostatistics Spatial data analysis
46	Identification and estimation of non-Gaussian structural vector autoregressions Markku Lanne, Mika Meitz and Pentti Saikkonen CREATES Research PaperDepartment of Economics and Business Add to Reading List Source URL: pure.au.dk Language: English - Date: 2015-04-13 04:15:00 Econometrics Matrices Linear algebra Time series analysis Vector autoregression Multivariate normal distribution Covariance matrix Normal distribution Matrix Statistics Algebra Multivariate statistics
47	Journal of Machine Learning Research3105 Submitted 11/13; Revised 5/14; PublishedHigh-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-11-02 15:50:43 Regression analysis Covariance and correlation Econometrics Multivariate normal distribution Normal distribution Maximum likelihood Covariance matrix Directed acyclic graph Linear regression Statistics Estimation theory Data analysis
48	MULTIVARIATE ANALYSIS AS A NULL COMPARISON WITH APPLICATIONS TO CLASSICAL, FUNCTIONAL AND TRANSFORMATIONAL DATA ANALYSIS Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2008-07-25 18:21:12 Data analysis Probability theory Algebra of random variables Covariance Principal component analysis Variance Canonical correlation Exchangeable random variables Statistics Covariance and correlation Multivariate statistics
49	SUPPLEMENTAL MATERIAL FOR HUNT AND CARRANOPALEONTOLOGICAL SOCIETY SHORTCOURSE Likelihood Inference for Evolutionary Models Likelihood is defined as the probability of obtaining the observed data, given a specifie Add to Reading List Source URL: www.paleosoc.org Language: English - Date: 2010-12-19 20:49:46 Covariance and correlation Matrices Summary statistics Covariance matrix Phylogenetic comparative methods Variance Multivariate normal distribution Normal distribution Maximum likelihood Statistics Data analysis Phylogenetics
50	Journal of Machine Learning Research–1816 Submitted 4/05; Revised 10/05; PublishedProbabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2005-11-20 10:42:17 Principal component analysis Expectation–maximization algorithm Gaussian process Generative topographic map Covariance matrix Mixture model Conjugate prior Factor analysis Covariance function Statistics Multivariate statistics Kernel principal component analysis