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Poisson Process 1

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Uploaded by on Mar 1, 2009

Introduction to Poisson Processes and the Poisson Distribution.

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LICENSE: Creative Commons (Attribution-Noncommercial-No Derivative Works).

For more information about this license, please read: http://creativecommons.org/licenses/by-nc-nd/3.0/.

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  • Hey Sal, I want to thank you for doing these videos and also present a request. Would you please make some videos of other forms of distributions like Gamma, Beta, Pareto, Etc.?

  • nice I like how you are branching deeper into probability theory, could stochastic be on the horizon?

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  • I am trying to find out what Poisson Regression is/how it is used, i am doing this for an assignment which is based on Research Methods, i am not a math student, nor am i a pyschology student, i have never used and or heard of this methods, i am struggling to write about it because all of the information i am finding is too in depth for my knowledge of the method.

    I just wanted to leave this comment, because i watched the entire video and could DEFINATELY see this being useful fo anyone.

    Thanks

  • Google Khan Academy and scroll down for other subjects that Khan speaks on personally:

    Physics, Biology, Chemistry, Math (algebra, Calc, Trig, Stats, etc, etc), Art History, Computer Science, Economics, Finance, History, SAT Preparation, etc, etc, etc.

    If your in school take a look and see if Khan has talked about the subject. He's financed by the Gates foundation and Google, etc.

    His vision: Eventually have all university level education online and below for free

  • Wow Khan Academy FTW!

    

  • Once again! I found that little piece of information I was missing, how beautiful he connected the λ parameter with the binomial distribution. Excellent job!

  • is lambda - number cars PER hour, or more like IN an hour? I mean "PER" sounds more like for describing frequency, isn't it?

  • We are having problems with chebyshev's theorem in probability. Can you please do something about that. I would be very thankful for it

  • thnaks

  • no mention of the markovian assumption but still compelling stuff!

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