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Hi guys,
I am back with an annoying MLE as follows (sorry in advance for the length!!!):
http://imageshack.us/photo/my-images/199/83863226.png/
The first part requires developing an MLE for theta.
First I defined the log likelihood of this function as follows:
The differentiated it with respect to theta to obtains
Equating the above to 0 and rearranging it to obtain theta I get:
Do you guys get anything similar?
The second part requires calculating a variance for the estimator so my thoughts were to use the following rules:
So I used these following steps:
Thank you in advance for any feedback
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Hi,
For the first part, I get the same.
I don't know the second part.
"Believe nothing, no matter where you read it, or who said it, no matter if I have said it, unless it agrees with your own reason and your own common sense" - Buddha?
"Data! Data! Data!" he cried impatiently. "I can't make bricks without clay."
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Hi gAr,
Thank you very much for having a look!!
The second part I've never come across before, though I get similar answers using Hessian and Fisher Information methods
Linda
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Hi lindah,
You're welcome!
I too never came across that before. I couldn't find a similar problem either.
"Believe nothing, no matter where you read it, or who said it, no matter if I have said it, unless it agrees with your own reason and your own common sense" - Buddha?
"Data! Data! Data!" he cried impatiently. "I can't make bricks without clay."
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