Multivariate analysis of covariance

Results: 219



#Item
21Learning Sparse Covariance Patterns for Natural Scenes Liwei Wang† † Yin Li‡

Learning Sparse Covariance Patterns for Natural Scenes Liwei Wang† † Yin Li‡

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Source URL: www.cse.cuhk.edu.hk

Language: English - Date: 2012-04-05 12:16:10
22Matrix Factorization and Collaborative Filtering Daryl Lim University of California, San Diego February 7, 2013

Matrix Factorization and Collaborative Filtering Daryl Lim University of California, San Diego February 7, 2013

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Source URL: acsweb.ucsd.edu

Language: English - Date: 2013-02-07 10:51:41
23Hierarchical Learning of Dimensional Biases in Human Categorization Adam Sanborn Gatsby Computational Neuroscience Unit University College London

Hierarchical Learning of Dimensional Biases in Human Categorization Adam Sanborn Gatsby Computational Neuroscience Unit University College London

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Source URL: www.gatsby.ucl.ac.uk

Language: English - Date: 2009-12-15 22:15:42
24Visual Hypothesis Tests in Multivariate Linear Models: The heplots Package for R John Fox McMaster University  Michael Friendly

Visual Hypothesis Tests in Multivariate Linear Models: The heplots Package for R John Fox McMaster University Michael Friendly

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Source URL: www.datavis.ca

Language: English - Date: 2012-09-12 11:48:19
25Journal of Educational Measurement Fall 2006, Vol. 43, No. 3, pp. 215–243 Formulation of the DETECT Population Parameter and Evaluation of DETECT Estimator Bias Louis A. Roussos andOzlem Ozbek

Journal of Educational Measurement Fall 2006, Vol. 43, No. 3, pp. 215–243 Formulation of the DETECT Population Parameter and Evaluation of DETECT Estimator Bias Louis A. Roussos andOzlem Ozbek

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Source URL: www.measuredprogress.org

Language: English
26MFE 237H: Quantitative Asset Management Notes on Minimum Variance Portfolios Professor Jason Hsu UCLA Anderson School of Management  Minimum Variance Portfolio

MFE 237H: Quantitative Asset Management Notes on Minimum Variance Portfolios Professor Jason Hsu UCLA Anderson School of Management Minimum Variance Portfolio

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Source URL: www.jasonhsu.org

Language: English - Date: 2012-05-28 17:50:29
27Package ‘CAMERA’ July 17, 2015 VersionDateTitle Collection of annotation related methods for mass spectrometry data

Package ‘CAMERA’ July 17, 2015 VersionDateTitle Collection of annotation related methods for mass spectrometry data

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Source URL: www.bioconductor.org

Language: English - Date: 2015-07-18 12:15:08
28Correlation and Large-Scale Simultaneous Significance Testing Bradley Efron Abstract Large-scale hypothesis testing problems, with hundreds or thousands of test statistics “zi ” to consider at once, have become fami

Correlation and Large-Scale Simultaneous Significance Testing Bradley Efron Abstract Large-scale hypothesis testing problems, with hundreds or thousands of test statistics “zi ” to consider at once, have become fami

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Source URL: statweb.stanford.edu

Language: English - Date: 2007-04-27 00:16:39
29ADAPTATION OF PRECISION MATRIX MODELS ON LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION K.C. Sim and M.J.F. Gales Engineering Department, Cambridge University, Trumpington St., Cambridge, CB2 1PZ U.K. Email: {kcs23,mjfg}

ADAPTATION OF PRECISION MATRIX MODELS ON LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION K.C. Sim and M.J.F. Gales Engineering Department, Cambridge University, Trumpington St., Cambridge, CB2 1PZ U.K. Email: {kcs23,mjfg}

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2005-04-12 06:21:20
30Positive Semidefinite Integrated Covariance Estimation, Factorizations and Asynchronicity Kris Boudt, Sébastien Laurent, Asger Lunde and Rogier Quaedvlieg CREATES Research Paper

Positive Semidefinite Integrated Covariance Estimation, Factorizations and Asynchronicity Kris Boudt, Sébastien Laurent, Asger Lunde and Rogier Quaedvlieg CREATES Research Paper

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Source URL: econ.au.dk

Language: English - Date: 2014-02-25 03:07:30