Covariance and correlation

Results: 1734



#Item
671Algebra of random variables / Canonical correlation / Covariance / Statistics / Covariance and correlation / Multivariate statistics

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

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Source URL: www.ocgy.ubc.ca

Language: English - Date: 2013-08-27 00:35:14
672Probability theory / Summary statistics / Statistical dependence / Variance / Covariance / Correlation and dependence / Standard deviation / Normal distribution / Sample mean and sample covariance / Statistics / Covariance and correlation / Data analysis

Ch.1 Correlation & Regression 1.1 Mean and Variance [Book, Sect.1.1, 1.2] Let x be a random variable which takes on discrete values. For example, x can be the outcome of a die cast, where the possible values are xi = i,

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Source URL: www.ocgy.ubc.ca

Language: English - Date: 2013-08-04 13:56:58
673Numerical linear algebra / Matrix theory / Multivariate statistics / Covariance and correlation / Singular value decomposition / Canonical correlation / Principal component analysis / Matrix / Variance / Algebra / Linear algebra / Mathematics

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

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Source URL: nr.com

Language: English - Date: 2011-05-28 14:30:36
674Covariance and correlation / Meta-analysis / Systematic review / Sociology / Correlation and dependence / Science / Medical statistics / Methodology

Meta-Analysis of Chinese Business Cycle Correlation Jarko Fidrmuc Zeppelin University Friedrichshafen and Iikka Korhonen Bank of Finland Institute for Economies in Transition

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Source URL: www.hkimr.org

Language: English - Date: 2015-03-10 22:15:15
675Abstract algebra / Functions and mappings / Covariance and correlation / Function / Vector space / Matrix / Euclidean vector / Logarithm / Covariance / Algebra / Mathematics / Linear algebra

PDF Document

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Source URL: research.microsoft.com

Language: English - Date: 2006-11-16 07:07:01
676Noise / Autoregressive model / Normal distribution / Autocorrelation / Covariance / Durbin–Watson statistic / Autoregressive–moving-average model / Statistics / Time series analysis / Covariance and correlation

A Pattern Test for Distinguishing Between Autoregressive and Mean-Shift Data WAYNE A. TAYLOR Baxter Healthcare Corporation, Round Lake, IL[removed]Statistical methods such as control charts and change-point analysis are co

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Source URL: www.variation.com

Language: English - Date: 2014-12-31 23:27:20
677Covariance and correlation / Orthogonality principle / Variance / Statistics / Algebra of random variables / Covariance

EN 257: Applied Stochastic Processes Problem Set 4 Douglas Lanman [removed] 21 March 2007

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Source URL: mesh.brown.edu

Language: English - Date: 2007-03-21 10:50:27
678Data analysis / Singular value decomposition / Covariance and correlation / Principal component analysis / Linear algebra / Eigenvalues and eigenvectors / Covariance matrix / Matrix / Variance / Statistics / Algebra / Multivariate statistics

694 Journal of the American Statistical Association, June 2009 Discussion Boaz NADLER

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Source URL: www.wisdom.weizmann.ac.il

Language: English - Date: 2009-06-16 05:02:26
679Covariance and correlation / Molecular biology / Correlation and dependence / Statistical dependence / Abundance / Gene expression / Statistics / Proportionality / Information / Science / Data

What you can and can’t say about biological systems from relative measurements David Lovell1, Vera Pawlowsky-Glahn2, Juan José Egozcue3 1 2

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Source URL: ws9.websitepanelonline.com

Language: English - Date: 2014-09-08 00:30:35
680Data analysis / Singular value decomposition / Covariance and correlation / Multivariate statistics / Linear algebra / Principal component analysis / Covariance / Eigenvalues and eigenvectors / Variance / Statistics / Algebra / Mathematics

Ch.2 Principal component analysis (PCA) Books on PCA by Jolliffe (2002), Preisendorfer[removed]PCA also called empirical orthogonal function (EOF) analysis. 2.1 Geometric approach to PCA [Book, Sect[removed]Dataset with

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Source URL: www.ocgy.ubc.ca

Language: English - Date: 2013-08-25 01:58:52
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