Math Help Forum: Weibull distribution

  1. #1
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    Weibull distribution

    Having trouble on this question:
    The random variable Y with a density function given by
    f(y)=[[(m)y^(m-1)]/(a)]*e^[(-y^(m))/(a)] where y is between 0 and infinity and a,m are greater than zero
    is said to have a Weibull distribution. Find the mean and variance for a Weibull distributed random variable with m=2.

    I can find the answers on the Internet somewhere, but how do you actually derive them?

    Thanks for any help.
    Jack
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  3. #2
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    OK. I found the mean, but could someone please help me with the variance? I'm stuck.

    Thanks in anticipation.
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  4. #3
    Grand Panjandrum
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    Quote Originally Posted by JackStolerman View Post
    Having trouble on this question:
    The random variable Y with a density function given by
    f(y)=[[(m)y^(m-1)]/(a)]*e^[(-y^(m))/(a)] where y is between 0 and infinity and a,m are greater than zero
    is said to have a Weibull distribution. Find the mean and variance for a Weibull distributed random variable with m=2.

    I can find the answers on the Internet somewhere, but how do you actually derive them?

    Thanks for any help.
    Jack
    You have density:

    <br />
f_{m,a}(y) = \frac{m y^{m-1}}{a}e^{-y^m/a}<br />

    where m,\ a >0 and y \in (0, \infty)

    Then the mean is:

    <br />
\mu = \int_0^{\infty} y\ f_{m,a}(y)\ dy<br />

    which you say you can do.

    The variance is given by:

    <br />
\sigma^2 = \int_0^{\infty} (y-\mu)^2 \ f_{m,a}(y)\ dy = <br />
\int_0^{\infty} y^2 \ f_{m,a}(y)\ dy -\mu^2<br />

    Now the integral on the right in this last equation should be do-able
    using the same technique you used to evaluate the mean.

    RonL
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