Random variable

Results: 674



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41The graphics calculator and the curriculum: The case of probability* Barry Kissane Murdoch University A graphics calculator may influence the curriculum in three kinds of ways: offering new opportunities for teaching and

The graphics calculator and the curriculum: The case of probability* Barry Kissane Murdoch University A graphics calculator may influence the curriculum in three kinds of ways: offering new opportunities for teaching and

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Source URL: wwwstaff.murdoch.edu.au

Language: English - Date: 2001-10-26 02:39:59
42RANDPOLY: A Random Polynomial Generator Francis J. Wright School of Mathematical Sciences Queen Mary and Westfield College University of London Mile End Road, London E1 4NS, UK.

RANDPOLY: A Random Polynomial Generator Francis J. Wright School of Mathematical Sciences Queen Mary and Westfield College University of London Mile End Road, London E1 4NS, UK.

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Source URL: reduce-algebra.com

Language: English - Date: 2008-12-30 11:47:19
43Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta  Shayak Sen

Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta Shayak Sen

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Source URL: www.andrew.cmu.edu

Language: English - Date: 2016-06-11 14:42:51
44Cumulative Probabilities for the Standard Normal (Z) Distribution Values in the table correspond to the area under the curve of a standard normal random variable for a value at or below z .

Cumulative Probabilities for the Standard Normal (Z) Distribution Values in the table correspond to the area under the curve of a standard normal random variable for a value at or below z .

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Source URL: www.sjsu.edu

Language: English - Date: 2015-06-19 11:19:56
    45BACK S HIFT :  Learning causal cyclic graphs from unknown shift interventions  Dominik Rothenh¨ausler⇤

    BACK S HIFT : Learning causal cyclic graphs from unknown shift interventions Dominik Rothenh¨ausler⇤

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    Source URL: papers.nips.cc

    Language: English - Date: 2015-12-18 15:54:52
    46RandNLA: Randomization in Numerical Linear Algebra: Theory and Practice Petros Drineas RPI

    RandNLA: Randomization in Numerical Linear Algebra: Theory and Practice Petros Drineas RPI

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    Source URL: www.drineas.org

    Language: English - Date: 2015-10-26 09:53:58
    47Introduction Testing Covariance Matrices Testing Bandedness Power Analysis Simulation

    Introduction Testing Covariance Matrices Testing Bandedness Power Analysis Simulation

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    Source URL: sas.uwaterloo.ca

    Language: English - Date: 2013-08-01 23:22:07
    48Stat Comput: 235–244 DOIs11222Manipulating and summarizing posterior simulations using random variable objects Jouni Kerman · Andrew Gelman

    Stat Comput: 235–244 DOIs11222Manipulating and summarizing posterior simulations using random variable objects Jouni Kerman · Andrew Gelman

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    Source URL: www.stat.columbia.edu

    Language: English - Date: 2007-11-07 12:07:27
      49Extreme Negative Dependence and Risk Aggregation Bin Wang∗ and Ruodu Wang† January 22, 2015 Abstract We introduce the concept of an extremely negatively dependent (END) sequence of random variables with a given commo

      Extreme Negative Dependence and Risk Aggregation Bin Wang∗ and Ruodu Wang† January 22, 2015 Abstract We introduce the concept of an extremely negatively dependent (END) sequence of random variables with a given commo

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      Source URL: sas.uwaterloo.ca

      Language: English - Date: 2015-01-22 22:51:14
      50Mathematical Analysis of Algorithms. Exercises IV. Let X be a random variable with non-negative real values. Show that for any t > 0, • (0.5pt) 1 Pr(X ≥ t · E(X)) ≤ .

      Mathematical Analysis of Algorithms. Exercises IV. Let X be a random variable with non-negative real values. Show that for any t > 0, • (0.5pt) 1 Pr(X ≥ t · E(X)) ≤ .

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      Source URL: www.math.tugraz.at

      - Date: 2012-06-05 13:08:33