Geometric distribution

Results: 93



#Item
1離散型(本次介紹範圍) Binomial distribution (二項分配) Geometric distribution(幾何分配) Negative Binomial distribution(負二項分配) Hypergeometric distribution(超幾何分配) Poisson distribution

離散型(本次介紹範圍) Binomial distribution (二項分配) Geometric distribution(幾何分配) Negative Binomial distribution(負二項分配) Hypergeometric distribution(超幾何分配) Poisson distribution

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Source URL: bc.imb.sinica.edu.tw

Language: English - Date: 2015-09-08 22:01:12
    2Scientific Benchmarking of Parallel Computing Systems Twelve ways to tell the masses when reporting performance results Torsten Hoefler Roberto Belli

    Scientific Benchmarking of Parallel Computing Systems Twelve ways to tell the masses when reporting performance results Torsten Hoefler Roberto Belli

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    Source URL: spcl.inf.ethz.ch

    Language: English - Date: 2015-12-09 07:59:40
    3Scientific Benchmarking of Parallel Computing Systems Twelve ways to tell the masses when reporting performance results Torsten Hoefler Roberto Belli

    Scientific Benchmarking of Parallel Computing Systems Twelve ways to tell the masses when reporting performance results Torsten Hoefler Roberto Belli

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    Source URL: spcl.inf.ethz.ch

    Language: English - Date: 2015-09-20 15:37:25
    4RANDOM GEOMETRIC GRAPH DIAMETER IN THE UNIT BALL ROBERT B. ELLIS, JEREMY L. MARTIN, AND CATHERINE YAN Abstract. The unit ball random geometric graph G = Gdp (λ, n) has as its vertices n points distributed independently

    RANDOM GEOMETRIC GRAPH DIAMETER IN THE UNIT BALL ROBERT B. ELLIS, JEREMY L. MARTIN, AND CATHERINE YAN Abstract. The unit ball random geometric graph G = Gdp (λ, n) has as its vertices n points distributed independently

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    Source URL: math.iit.edu

    Language: English - Date: 2006-03-23 12:39:13
    5Exact and Efficient Generation of Geometric Random Variates and Random Graphs Karl Bringmann1 and Tobias Friedrich2 1  Max-Planck-Institut f¨

    Exact and Efficient Generation of Geometric Random Variates and Random Graphs Karl Bringmann1 and Tobias Friedrich2 1 Max-Planck-Institut f¨

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

    Language: English - Date: 2016-01-03 06:45:52
    6Typical distances in a geometric model for complex networks ∗ Mohammed Amin Abdullah† Michel Bode‡

    Typical distances in a geometric model for complex networks ∗ Mohammed Amin Abdullah† Michel Bode‡

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    Source URL: web.mat.bham.ac.uk

    Language: English - Date: 2015-06-25 12:56:44
    7Median Bounds and their Application* Alan Siegel Department of Computer Science, Courant Institute, New York University, NYC, NYE-mail:   Basic methods are given to evaluate or estimate the m

    Median Bounds and their Application* Alan Siegel Department of Computer Science, Courant Institute, New York University, NYC, NYE-mail: Basic methods are given to evaluate or estimate the m

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    Source URL: www.cs.nyu.edu

    Language: English - Date: 2000-09-09 07:43:02
    8Inference, Models and Simulation for Complex Systems Lecture 1 Prof. Aaron Clauset 1

    Inference, Models and Simulation for Complex Systems Lecture 1 Prof. Aaron Clauset 1

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    Source URL: tuvalu.santafe.edu

    Language: English - Date: 2011-08-25 15:05:50
    9HP Prime APSI 2015 Webinar: Programming in HP PPL  Version 1.2 Programming in HP PPL

    HP Prime APSI 2015 Webinar: Programming in HP PPL Version 1.2 Programming in HP PPL

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    Source URL: www.hpprime.de

    Language: English - Date: 2016-02-23 03:05:52
    10On Geometric Ergodicity of the Commodity Pricing Model ∗ John Stachurski† Kazuo Nishimura

    On Geometric Ergodicity of the Commodity Pricing Model ∗ John Stachurski† Kazuo Nishimura

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    Source URL: johnstachurski.net

    Language: English - Date: 2016-06-19 06:01:40