Dear All,
Attached are the codes of a histogram & a kernel density estimate and the
output they produced.
In fact the variable q is a vector of 1000 simulated values; that is I
generated 1000 samples from the pareto distribution, from each sample I
calculated the value of q ( a certain fn in the sample observations), and thus
I was left with 1000 values of q and I don't know the distribution of q.
Hence, I used the attached codes for histogram and kernel density estimation
toestimate the density of q.
But what I'm really intersed in is to estimate the probability that q is
greater than a certain value , for ex.,P(q>11000), using the density estimates
I obtained.
Could u help me with a fn or some document to do this?
Thank u so much
Maram
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