These are the sources and citations used to research asdsad. This bibliography was generated on Cite This For Me on

  • Website

    Autodesk

    Verify the deflection for the provided reinforcement | Robot Structural Analysis Products | Autodesk Knowledge Network

    2019

    In-text: (Autodesk)

    Your Bibliography: Autodesk. "Verify The Deflection For The Provided Reinforcement | Robot Structural Analysis Products | Autodesk Knowledge Network." Knowledge.autodesk.com. N.p., 2019. Web. 27 Nov. 2019.

  • Journal

    Einstein, H. H. and Baecher, G. B.

    Probabilistic and statistical methods in engineering geology

    1983 - Rock Mechanics and Rock Engineering

    In-text: (Einstein and Baecher 39-72)

    Your Bibliography: Einstein, H. H., and G. B. Baecher. "Probabilistic And Statistical Methods In Engineering Geology." Rock Mechanics and Rock Engineering 16.1 (1983): 39-72. Web. 27 Nov. 2019.

  • Journal

    Limpert, E. and Stahel, W. A.

    Problems with Using the Normal Distribution – and Ways to Improve Quality and Efficiency of Data Analysis

    2011 - PLoS ONE

    In-text: (Limpert and Stahel e21403)

    Your Bibliography: Limpert, Eckhard, and Werner A. Stahel. "Problems With Using The Normal Distribution – And Ways To Improve Quality And Efficiency Of Data Analysis." PLoS ONE 6.7 (2011): e21403. Web. 27 Nov. 2019.

  • Journal

    Marinazzo, D., Wu, G., Pellicoro, M., Angelini, L. and Stramaglia, S.

    Information Flow in Networks and the Law of Diminishing Marginal Returns: Evidence from Modeling and Human Electroencephalographic Recordings

    2012 - PLoS ONE

    In-text: (Marinazzo et al. e45026)

    Your Bibliography: Marinazzo, Daniele et al. "Information Flow In Networks And The Law Of Diminishing Marginal Returns: Evidence From Modeling And Human Electroencephalographic Recordings." PLoS ONE 7.9 (2012): e45026. Web. 27 Nov. 2019.

  • Website

    migueldeicaza/TensorFlowSharp

    2019

    In-text: ("Migueldeicaza/Tensorflowsharp")

    Your Bibliography: "Migueldeicaza/Tensorflowsharp." GitHub. N.p., 2019. Web. 27 Nov. 2019.

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