- #1
mnb96
- 715
- 5
Hello,
I am given a random variable X with a p.d.f. fX(x;[itex]\theta[/itex]) (depending on a certain deterministic parameter [itex]\theta[/itex]) and I want to consider N sampled observations of that variable: x1,...,xN.
Is it correct to consider each observation as a separate random variable xi with the same pdf fX(x,[itex]\theta[/itex]) associated with it?
I am asking this question because I have got an exercise in which I have to compute the expected value of a given estimator:
[tex]\hat{\theta}(N)=s(x_1,\ldots,x_N)[/tex]
where x1,...,xN are the sampled observations from the distribution of X.
I am given a random variable X with a p.d.f. fX(x;[itex]\theta[/itex]) (depending on a certain deterministic parameter [itex]\theta[/itex]) and I want to consider N sampled observations of that variable: x1,...,xN.
Is it correct to consider each observation as a separate random variable xi with the same pdf fX(x,[itex]\theta[/itex]) associated with it?
I am asking this question because I have got an exercise in which I have to compute the expected value of a given estimator:
[tex]\hat{\theta}(N)=s(x_1,\ldots,x_N)[/tex]
where x1,...,xN are the sampled observations from the distribution of X.
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