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Analysis of covariance
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851	THE HYPERGEOMETRIC PROCESS: A FLEXIBLE PARAMETERIZATION OF M A(∞) TIME SERIES GRAHAM L. GILLER A BSTRACT. We introduce an apparently new parameterisation of the Wold decomposition of a standard Box-Jenkins time series Add to Reading List Source URL: www.gillerinvestments.com Language: English - Date: 2006-08-16 15:05:54 Ordinary differential equations Covariance and correlation Time series analysis Hypergeometric functions Hypergeometric series Generalized hypergeometric function Autocorrelation Gegenbauer polynomials Autocovariance Mathematical analysis Mathematics Mathematical series
852	Proceedings of the 18th World Congress The International Federation of Automatic Control Milano (Italy) August 28 - September 2, 2011 Add to Reading List Source URL: maeresearch.ucsd.edu Language: English - Date: 2011-09-22 18:19:03 Control theory Convolution Fourier analysis Image processing Realization Covariance Continuous function State space Projection Mathematical analysis Mathematics Functional analysis
853	Autocorrelation functions Value of some quantity at Monte Carlo step i: Add to Reading List Source URL: physics.bu.edu Language: English - Date: 2013-11-19 10:51:03 Statistical mechanics Covariance and correlation Time series analysis Lattice models Signal processing Ising model Autocorrelation Chemical bond Swendsen–Wang algorithm Physics Statistics Probability and statistics
854	Fast large scale Gaussian process regression using approximate matrix-vector products Vikas Chandrakant Raykar and Ramani Duraiswami {vikas,ramani}@umiacs.umd.edu Department of Computer Science University of Maryland, Co Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-03-21 08:47:48 Gaussian process Covariance function Regression analysis Kriging Gaussian function Gaussian adaptation Statistics Geostatistics Econometrics
855	Journal of Machine Learning Research[removed]152 Submitted 10/11; Revised 8/12; Published 1/13 Add to Reading List Source URL: www.cs.helsinki.fi Language: English - Date: 2013-02-05 05:47:54 Information theory Communication Randomness Covariance and correlation Statistical theory Cumulant Mutual information Normal distribution Correlation and dependence Statistics Mathematical analysis Probability and statistics
856	A CLT for regularized sample covariance matrices Add to Reading List Source URL: www.math.umn.edu Language: English - Date: 2009-01-06 09:41:08 Multivariate statistics Algebra of random variables Covariance Cumulant Central limit theorem Principal component analysis Matrix Normal distribution Kalman filter Statistics Covariance and correlation Data analysis
857	An upper limit for macromolecular crowding effects Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Hypothesis testing Analysis of variance Analysis of covariance Covariance and correlation Statistical power Effect size Statistics Information Science
858	How to find the inertia tensor (or other mass properties) of a 3D solid body represented by a triangle mesh (Draft) Jonathan Blow, Atman J Binstock Add to Reading List Source URL: number-none.com Language: English - Date: 2004-11-25 20:25:14 Data analysis Mechanics Triangles Self-dual polyhedra Tetrahedron Moment of inertia Variance Covariance matrix Barycentric coordinate system Geometry Physics Statistics
859	Academic Achievements of Professor P.L. Hsu CHEN Jiading and ZHENG Zhongguo Add to Reading List Source URL: www.math.pku.edu.cn Language: English - Date: 2012-05-24 20:02:10 Data analysis Random matrices Normal distribution Central limit theorem Variance Matrix Wishart distribution Covariance matrix Characteristic function Statistics Probability and statistics Probability theory
860	Block Cyclic Distribution of Data in pbdR and its Effects on Computational Efficiency REU Site: Interdisciplinary Program in High Performance Computing Add to Reading List Source URL: userpages.umbc.edu Language: English - Date: 2013-09-04 15:16:03 Multivariate statistics Singular value decomposition Covariance and correlation Matrices Principal component analysis Eigenvalues and eigenvectors Matrix Covariance matrix Diagonalizable matrix Statistics Algebra Data analysis

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