Sampling

Results: 22289



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991References  Importance Sampling Jessi Cisewski Carnegie Mellon University

References Importance Sampling Jessi Cisewski Carnegie Mellon University

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Source URL: astrostatistics.psu.edu

Language: English - Date: 2014-06-12 07:11:13
    992RTGSequential sampling models for decision making Prof. Dr. Adele Diederich Jacobs University Bremen gGmbH

    RTGSequential sampling models for decision making Prof. Dr. Adele Diederich Jacobs University Bremen gGmbH

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    Source URL: grk1855.tu-dortmund.de

    Language: English - Date: 2016-02-29 13:25:11
    993City of  Branch Sampling Survey Data Sheet Field Collection

    City of Branch Sampling Survey Data Sheet Field Collection

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    Source URL: www.coloradotrees.org

    - Date: 2014-11-02 21:25:53
      994Statistics 542 Spring 2016 Course Description: Bayesian Methods and Computation The goal of this course is to develop sophisticated tools for probability modeling and data analysis from the Bayesian perspective. Key topi

      Statistics 542 Spring 2016 Course Description: Bayesian Methods and Computation The goal of this course is to develop sophisticated tools for probability modeling and data analysis from the Bayesian perspective. Key topi

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      Source URL: www-stat.wharton.upenn.edu

      Language: English - Date: 2015-12-20 15:57:51
      995

      Anlage B Hintergründe Die Fachliteratur nennt die beschriebenen Verfahren randomisierte Antworttechniken (Randomized responsing sampling, kurz: RRS).

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      Source URL: www.kmk-format.de

      Language: German - Date: 2009-01-26 14:34:46
        996Arsenic Concentrations (parts per million = mg/L) in Samples Collected in the Farr Creek Drainage Basin, 1991 to 1997 Sampling Location Brief Lake, west side (mid-way) Total As 11

        Arsenic Concentrations (parts per million = mg/L) in Samples Collected in the Farr Creek Drainage Basin, 1991 to 1997 Sampling Location Brief Lake, west side (mid-way) Total As 11

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        Source URL: www.cobaltmininglegacy.ca

        Language: English - Date: 2006-07-27 21:31:55
          997Efficient Sampling Methods for Discrete Distributions Karl Bringmann and Konstantinos Panagiotou Max Planck Institute for Informatics Campus E1.4, 66123 Saarbr¨ ucken, Germany

          Efficient Sampling Methods for Discrete Distributions Karl Bringmann and Konstantinos Panagiotou Max Planck Institute for Informatics Campus E1.4, 66123 Saarbr¨ ucken, Germany

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          Source URL: people.mpi-inf.mpg.de

          Language: English - Date: 2016-01-03 06:45:38
          998Image Perforation: Automatically Accelerating Image Pipelines by Intelligently Skipping Samples LIMING LOU1,2 , PAUL NGUYEN2 , JASON LAWRENCE2,3 , CONNELLY BARNES2 Shandong University, 2 University of Virginia  1

          Image Perforation: Automatically Accelerating Image Pipelines by Intelligently Skipping Samples LIMING LOU1,2 , PAUL NGUYEN2 , JASON LAWRENCE2,3 , CONNELLY BARNES2 Shandong University, 2 University of Virginia 1

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          Source URL: www.connellybarnes.com

          Language: English - Date: 2016-05-01 11:21:49
          999Software News and Updates  tCONCOORD-GUI: Visually Supported Conformational Sampling of Bioactive Molecules DANIEL SEELIGER, BERT L. DE GROOT

          Software News and Updates tCONCOORD-GUI: Visually Supported Conformational Sampling of Bioactive Molecules DANIEL SEELIGER, BERT L. DE GROOT

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          Source URL: www3.mpibpc.mpg.de

          Language: English - Date: 2009-03-27 05:26:29
            10008: Independent Samples Exercises 8.1 Sampling designs. Identify the sampling design of each of the following as single sample, paired samples, or independent samples. (A) A study compares the vaccination histories of 30

            8: Independent Samples Exercises 8.1 Sampling designs. Identify the sampling design of each of the following as single sample, paired samples, or independent samples. (A) A study compares the vaccination histories of 30

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            Source URL: www.sjsu.edu

            Language: English - Date: 2016-05-10 21:57:16