I sent this to Siri Bjoner so I dont know if that is allowed or even if it went
through.
Simulate 1000 observations from the student-t distribution with 3
> degrees of freedom and then calculate the truncated mean by
> excluding bottom 5% and top 5%.
This is the question I had and I posted it as soon as I started working on it
myself. so this is what I have and now I am asking if this is right or wrong, I
am not asking for you to solve this for me without me doing any work.
# We first simulate 1000 observations .....
x<-rt(1000,3)
mean(x,trim=0.05) #or 0.1 I am not sure
z<-sort(x)
#next use either
y<-z[-c(1:50,951:1000)] # We want the bottom 5% and top 5% so this corresponds
to the elements that we are taking away.
#or
#y<-z[-c(1:100,901:1000)]
mean(y)
Thank you and I hope you understand now
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