Consider a random sample n from a population

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Problem: Consider a random sample n from a population with probability distribution f(x,p) that depends on parameter p. Find the maximum likelihood estimator for p when

f(x,p) = p^x (1-p)^1-x for x=0,1
 
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So you've tried...?
 
statdad said:
So you've tried...?

I m having difficulty starting , can you show me an example which is near to this or related to this . I just need a starting point .
 
The likelihood function is

<br /> L(p \colon x_1, x_2, \dots, x_n) = \prod_{i=1}^n p^{x_i} (1-p)^{1-x_i}<br />

Break the product into two factors, one in which x_j = 0, the other in which x_j = 1, and see what the products look like.
 
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