I am doing some work with moment generating functions and have been given the question ''calculate the mean deviation'', this is defined to be E(lX-E(X)l).
My m.g.f is (1-t/lambda)^-1 and was generated from f(x)=(lambda)e^-(lambda)x.
I am doing some work with moment generating functions and have been given the question ''calculate the mean deviation'', this is defined to be E(lX-E(X)l).
My m.g.f is (1-t/lambda)^-1 and was generated from f(x)=(lambda)e^-(lambda)x.
I have no idea how to find MD from a m.g.f.
cheers
Here is a blunt approach:
Get from the mgf. Now use the pdf to calculate .
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Got by differentiating m.g.f once then setting t=0.
So do i manipulate the expectation of a random variable formula to look like: = intergral |X - (1\lambda)| (lambda)e^-(lambda)x. dx?
Yes. And note that when and when .
__________________ There are two things you should never try to prove: the impossible and the obvious.
The greater danger for most of us lies not in setting our aim too high and falling short; but in setting our aim too low and achieving our mark. (Michelangelo Buonarroti)
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