I am having real trouble with this, the topic is not on this concept itself, but we have to use knowledge of it to answer questions in our area.
I am having real trouble understanding it.
So we have the general rule in our example:
G(x) = E[Y1 | Y1 < x] (this is apparantly the expected value, given the assumptions which i dont really understand how they got to this statement itself)
But anyway, so this is the rule we should use. Then in our example, we have:
F(x)=x and G(x)=x^N-1
Hence: expected value = (x^N-1) * ((N-1)/N) * x
= ((N-1)/N)* x^N
Now I understand how to simplify the above to get the bottom answer, but I do not understand the condition probability, then with the example, how to get the answer....
Please help me, at the moment i am just searching the internet for integration examples, but everything is so different in format/notation etc. Please help! Here to discuss !
E[Y1|Y1<x] just means the the expected value of Y1, if Y1 can take values only below x.
Taking a new step, uttering a new word, is what people fear most. ― Fyodor Dostoyevsky, Crime and Punishment
The knowledge of some things as a function of age is a delta function.