How to Find Maximum Likelihood Estimators for Sample Data?

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Scootertaj
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problem.jpg

Homework Equations



[tex]L(x,p) = \prod_{i=1}^npdf[/tex]
[tex]l= \sum_{i=1}^nlog(pdf)[/tex]
Then solve [tex]\frac{dl}{dp}=0[/tex] for p (parameter we are seeking to estimate)

The Attempt at a Solution



I know how to do this when we are given a pdf, but I'm confused how to do this when we have a sample.
 
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Scootertaj said:
problem.jpg



Homework Equations



[tex]L(x,p) = \prod_{i=1}^npdf[/tex]
[tex]l= \sum_{i=1}^nlog(pdf)[/tex]
Then solve [tex]\frac{dl}{dp}=0[/tex] for p (parameter we are seeking to estimate)

The Attempt at a Solution



I know how to do this when we are given a pdf, but I'm confused how to do this when we have a sample.

Are there no similar examples solved in your textbook or course notes? Could you find nothing at all on-line?

RGV
 
Not so far, though I'll be talking to a graduate TA about it.