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Analysis of covariance
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#	Item
561	Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA Vincent Q. Vu The Ohio State University [removed] Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-25 16:30:06 Matrix theory Singular value decomposition Matrices Data analysis Principal component analysis Eigenvalues and eigenvectors Covariance matrix Matrix Spectral theorem Algebra Linear algebra Mathematics
562	1 Estimation of Optimal PDE-based Denoising in the SNR Sense Guy Gilboa, Nir Sochen and Yehoshua Y. Zeevi Add to Reading List Source URL: www.math.tau.ac.il Language: English - Date: 2006-06-26 11:04:17 Algebra of random variables Probability theory Covariance Variance Statistics Covariance and correlation Data analysis
563	Clinical Trial Research News From the Office of Clinical Research Volume 9, Issue 6 To Contact Us: Add to Reading List Source URL: www.sbrc.ca Language: English - Date: 2011-09-07 18:51:32 Covariance and correlation Evaluation methods Research methods Scatter plot Linear regression Correlation and dependence Plot Clinical research coordinator Regression estimation Statistics Regression analysis Econometrics
564	Sparse PCA: Concepts, Theory, and Algorithms Jing Lei, Department of Statistics, CMU U. Pitt. Biostat Department Seminar, Nov 7, 2013 Collaborators Vince Q. Vu, Stat. Dept. OSU Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-01-10 12:18:09 Multivariate statistics Singular value decomposition Data analysis Covariance and correlation Matrices Principal component analysis Covariance matrix Eigenvalues and eigenvectors Matrix Statistics Algebra Linear algebra
565	egu_logo_without_circle_grey Add to Reading List Source URL: www.atmos-chem-phys.net Language: English - Date: 2013-08-22 07:46:46 Regression analysis Estimation theory Parametric statistics Variance Principal component analysis Linear regression Covariance Coefficient of determination Correlation and dependence Statistics Covariance and correlation Data analysis
566	Clinical Trial Research News From the Office of Clinical Research Volume 13, Issue 2 April 2011 Add to Reading List Source URL: www.sbrc.ca Language: English - Date: 2011-09-07 19:02:30 Statistical tests Hypothesis testing Pharmaceutical industry One-way ANOVA Analysis of covariance F-test Multivariate analysis of variance Effect size Statistical power Statistics Analysis of variance Design of experiments
567	Using Technology to Assess Mathematical Understanding (without getting lost in the technology) Craig Russell, University of Illinois Labora Add to Reading List Source URL: mathforum.org Language: English - Date: 2014-02-28 13:47:07 Econometrics Covariance and correlation Summary statistics Variance Errors and residuals in statistics Standard deviation Bootstrapping Deviation Plot Statistics Data analysis Regression analysis
568	Learning Compressed Sensing 1 Yair Weiss1,2 Hebrew University of Jerusalem [removed] Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2007-10-15 16:26:27 Data analysis Time series analysis Principal component analysis Singular value decomposition Independent component analysis Projection Covariance matrix Statistical signal processing Degrees of freedom Statistics Signal processing Multivariate statistics
569	October 23, 2013 Matt Buttice & Ben Highton Further Considerations Regarding the use of MRP with Conventional National Surveys Here is a quick recap: We published an article about the performance of MRP with conventional Add to Reading List Source URL: ps.ucdavis.edu Language: English - Date: 2013-10-23 09:31:00 Covariance and correlation Probability theory Variance Reliability Intelligence quotient Standard deviation Correlation and dependence Kurtosis Statistics Psychometrics Data analysis
570	Estimating Sparse Principal Components and Subspaces Jing Lei Department of Statistics, CMU Joint work with V. Q. Vu (OSU), J. Cho, and K. Rohe (U. of Wisc.) Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-01-10 12:18:10 Singular value decomposition Data analysis Multivariate statistics Matrix theory Principal component analysis Eigenvalues and eigenvectors Covariance matrix Matrix Projection Algebra Statistics Linear algebra

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