\(f_Y(y)= \dfrac{2(\theta -y)}{\theta^2}, 0
I got \(F_U(u) = 2u-u^2\) I understand the problem like this: I need find a, b, such that P(a<U<b) =0.90 and after finding out b, we can get the lower confidence. But it is not that. My Prof used directly \(P(U < b)=0.90\) It confused me.
I see. It all depends on how you understand `a 90% lower confidence limit for θ`. If this means `P(U < b)=0.90` or `P(U > b)=0.90` or the lower limit of the interval [a,b] such that `P(a < U < b)=0.90`. You have to ask the professor or look in the course what it means and just use that all the time. Honestly I would not know, I would ask the professor..
Thanks a lot. I will ask my prof also.
In my opinion it would rather be `P(Y > b) = 0.9` ... :) |dw:1461674279942:dw|
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