Amelia Marsh via R-help r-project.org> writes:
>
> Dear Sir,
>
[snip]
> Lastly using the command rsnorm(1, mean = m, sd = s, xi = x)
> where m, s and x are the estimated parameters obtained from loss
> data. The usual procedure is to arrange these simulated values in
> descending order
Dear Sir,
Thanks for your great guidance. Made me realize that I need to think out of
box.
As regards the low losses, BASEL guidelines do say to get rid of such low
losses which create noise in analysing the losses caused by Operational Loss
events.
Its the right tail events do matter which
So - as you can see, your data can be modelled.
Now the interesting question is: what do you do with that knowledge. I know
nearly nothing about your domain, but given that the data looks log-normal, I
am curious abut the following:
- Most of the events are in the small-loss category. But most
Amelia Marsh yahoo.com> writes:
> Hello! (I dont know if I can raise this query here on this forum,
> but I had already raised on teh finance forum, but have not received
> any sugegstion, so now raising on this list. Sorry for the same. The
> query is about what to do, if no statistical distr
Try:
qqnorm(log(mydat))
That doesn't look too bad, does it? Now: where is the problem?
Cheers,
B.
On Jul 22, 2015, at 12:41 PM, Amelia Marsh wrote:
> Hello!
>
> (I dont know if I can raise this query here on this forum, but I had already
> raised on teh finance forum, but have not receive
Hello!
(I dont know if I can raise this query here on this forum, but I had already
raised on teh finance forum, but have not received any sugegstion, so now
raising on this list. Sorry for the same. The query is about what to do, if no
statistical distribution is fitting to data).
I am into
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