Multivariate statistics

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115 Mathematical Tools for Multivariate Character Analysis This chapter introduces a variety of tools from matrix algebra and multivariate statistics useful in the analysis of selection on multiple characters. Our primary

15 Mathematical Tools for Multivariate Character Analysis This chapter introduces a variety of tools from matrix algebra and multivariate statistics useful in the analysis of selection on multiple characters. Our primary

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Source URL: nitro.biosci.arizona.edu

Language: English - Date: 2000-02-05 10:21:54
    2Software package for Multivariate Analysis and Multivariate Time Series Analysis Version 2.0+ Brodgar was developed by: Highland Statistics Ltd.

    Software package for Multivariate Analysis and Multivariate Time Series Analysis Version 2.0+ Brodgar was developed by: Highland Statistics Ltd.

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    Source URL: www.brodgar.com

    - Date: 2016-04-29 18:01:14
      3Semidefinite Optimization with Applications in Sparse Multivariate Statistics Alexandre d’Aspremont ORFE, Princeton University  Joint work with L. El Ghaoui, M. Jordan, V. Krishnamurthy, G. Lanckriet,

      Semidefinite Optimization with Applications in Sparse Multivariate Statistics Alexandre d’Aspremont ORFE, Princeton University Joint work with L. El Ghaoui, M. Jordan, V. Krishnamurthy, G. Lanckriet,

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      Source URL: www.di.ens.fr

      - Date: 2013-09-09 15:02:53
        4R: statistics for all of us R: an international statistical collaboratory Prepared for part of the symposium on Multivariate Statistical Methods in Individual Differences Research International Society for the Study of I

        R: statistics for all of us R: an international statistical collaboratory Prepared for part of the symposium on Multivariate Statistical Methods in Individual Differences Research International Society for the Study of I

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        Source URL: personality-project.org

        - Date: 2006-02-04 19:43:56
          5Submitted to the Annals of Statistics  arXiv:1608.03913v1 [math.ST] 12 Aug 2016 POSTERIOR CONTRACTION AND CREDIBLE SETS FOR MULTIVARIATE REGRESSION MODE WITH

          Submitted to the Annals of Statistics arXiv:1608.03913v1 [math.ST] 12 Aug 2016 POSTERIOR CONTRACTION AND CREDIBLE SETS FOR MULTIVARIATE REGRESSION MODE WITH

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          Source URL: arxiv.org

          - Date: 2016-08-15 20:23:25
            6– the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT

            – the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT

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            Source URL: wp.nyu.edu

            Language: English - Date: 2016-08-16 16:20:31
            7SEPTEMBERCARTER AND ELSNER 515

            SEPTEMBERCARTER AND ELSNER 515

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            Source URL: myweb.fsu.edu

            Language: English - Date: 2016-08-22 10:16:44
            8Adaptive Discriminative Generative Model and Its Applications † Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute

            Adaptive Discriminative Generative Model and Its Applications † Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute

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            Source URL: www.cs.toronto.edu

            Language: English - Date: 2005-01-07 15:34:20
            9Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection

            Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection

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            Source URL: pmg.it.usyd.edu.au

            Language: English - Date: 2011-10-04 00:04:53