The Exponential Distribution and Exponential Random Variables | Probability Theory

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  • Опубликовано: 2 окт 2024

Комментарии • 24

  • @fortunatesadiq9662
    @fortunatesadiq9662 2 дня назад

    why is it P(X

  • @jeffreya.faulkner8367
    @jeffreya.faulkner8367 3 года назад +3

    I like to think of lambda as the rate parameter and mu as the "wait" parameter. Lambda = 1/5 would be one call per five minutes; mu = 5/1 would be five minutes per one call.

  • @AnoushkaFarrelly
    @AnoushkaFarrelly Год назад

    I know this was published three years ago but could you do a video about poisson to exponential distributions

  • @Shaan_Suri
    @Shaan_Suri 9 месяцев назад

    Whats the difference between a probability density function and probability mass function ?

  • @beefandpotatoes6525
    @beefandpotatoes6525 Год назад +1

    after many years I understood why in an exponentially distributed continues random variable probability of x >= a is e ^ (- ax ). Thank you man.

  • @nouramohammad3720
    @nouramohammad3720 4 года назад

    i have a question , i can't solve
    Let X ~ Exponential (lambda), and Y=aX, where a is a positive real number. Show that Y~ Exponential (lambda/a).

    • @WrathofMath
      @WrathofMath  4 года назад

      Thanks for watching and good question! To show Y is exponential with mean a/lambda we need to show that Y has the probability density function of an exponential with parameter lambda/a. I'll do a lesson on how to prove that soon!

  • @James08091980
    @James08091980 4 года назад +1

    Great recap. It really helped me piece a bunch of stuff together

    • @WrathofMath
      @WrathofMath  4 года назад

      So glad it helped, thanks a lot for watching!

  • @abhishekroy3514
    @abhishekroy3514 5 лет назад +1

    Thanks for making the video.
    It really helps me to understand the basics in actuarial field.

    • @WrathofMath
      @WrathofMath  5 лет назад

      You're very welcome, thanks for watching! And you're pursuing a career as an actuary? That's awesome! I'll definitely make more videos you'll be interested in. I'm an actuarial analyst so I like to think this stuff is my specialty!

    • @abhishekroy3514
      @abhishekroy3514 5 лет назад

      @@WrathofMath
      Love to see your lovely response.
      Currently I am preparing for CS1 exam from IFOA.
      Thanks for creating "Wrath of Math"

    • @WrathofMath
      @WrathofMath  5 лет назад +1

      Good luck! I wasn't familiar with the IFOA until you mentioned it! I have been on the SOA exam path, but the IFOA is a UK group, so that is why I have not heard of it, since I dwell here in the US! I'll definitely take a look at some of the CS1 Exam curriculum and see if I get any good lesson ideas from it!
      And you're very welcome! It is my deepest pleasure to run Wrath of Math, and I have to thank you and everyone else for watching, there'd be no point to making the lessons if they didn't help anyone. The support of you all keeps me motivated and gives me the energy to blab to my microphone about probability at ten at night! And I'll be doing lessons in front of a whiteboard soon as well, I can't wait :)

  • @gauravchaudhari3843
    @gauravchaudhari3843 3 года назад

    thank you

    • @WrathofMath
      @WrathofMath  3 года назад

      My pleasure! Thanks for watching, Gaurav!

  • @zack_120
    @zack_120 2 года назад

    5:40 - are you joking or serious: σ=1/λ=E(x), meaning μ=σ (!?) since μ=1/λ.

    • @reidchave4054
      @reidchave4054 2 года назад

      He is serious! The neat property of exponential random variables is that the standard deviation is always equal to the expected value. This means that 0, and all values up to 2σ, are within σ distance of the expected value (μ), or to put it more simply, that every time you wait the expected value of time (μ) AFTER the expected value before observing the event, you are one more standard deviation beyond the mean.

  • @andreaaa2736
    @andreaaa2736 9 месяцев назад

    😍😍

    • @WrathofMath
      @WrathofMath  9 месяцев назад +1

      Thanks for watching!

    • @andreaaa2736
      @andreaaa2736 9 месяцев назад

      @@WrathofMath your videos help me a lot 😍 It's clear and easy to understand

  • @miracleodion8401
    @miracleodion8401 3 года назад

    Your video on exponential distribution is helpful.i need your help on this particular question
    Suppose that the time between emergency calls in a fire station follows the exponential distribution with an average rate of 2 calls per day.what is the probability that the firemen are not called in 3 days?

  • @omarsaad6543
    @omarsaad6543 3 года назад

    Hello Sir,
    1. A system consists of three processors and four peripheral units. In each of these
    cases find the reliability of the system if the processor lifetimes are exponential
    random variable with mean 10 and the peripheral lifetimes are exponential random
    variable with mean 15.
    a) The system is functioning as long as one processor and one peripheral are
    functioning.
    b) The system is functioning as long as two processors and two peripherals
    are functioning.
    Any suggestions pls?