What is the maximum likelihood estimator for a given density function?

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sara_87
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Homework Statement



pdf: f(x)=ax^(a-1) ; 0<x<1, a>0
estimate a by maximum likelihood

Homework Equations


let L be maximum likelihood
L=(a(x[1])^(a-1))(a(x[2])^(a-1))...(a(x[n])^(a-1))

The Attempt at a Solution



Im trying to make this into a nicer expression:
L=a^n... (now I am stuck)

Any help would be v much appreciated.
Thank you.
 
on Phys.org
Remember that if your density is [tex]f(x)[/tex], then the likelihood function for an i.i.d. sample is

[tex] L(x_1, \dots, x_n) = \prod_{i=1}^n f(x_i)[/tex]

For the density you give this is

[tex] L(x_1, \dots, x_n) = \prod_{i=1}^n a x_i^{a-1} = a^n \prod_{i=1}^n x_i^{a-1} [/tex]

What do you know about simplifying a product of different bases when each is raised to the same power?