let me amend my previous message to remove a silly mistake:
I have a (non-normal) distribution S that is a mixture of two normal
distributions C and C-bar. I need to find the percentage of the area
of S that both C and C-bar occupy.
Thanks again,
Alan Gibson
On 5/1/07, Leeds, Mark (IED) <Mark.Leeds at morganstanley.com>
wrote:> What do you mean by a normal distribution made up of to normal
> distributions ? A mixture of two
> Normals with different variances doesn't result in a normal
distribution
> so I'm not sure what you
> Nean but maybe someone else does. No offense intended but, if noone
> replies,
> That means that noone else understood either.
>
>
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Alan Gibson
> Sent: Tuesday, May 01, 2007 8:02 PM
> To: R-help at stat.math.ethz.ch
> Subject: [R] Percentage area of a distribution
>
> It seems like this should be pretty straight forward, but for some
> reason the answer escapes me.
>
> I have a normal distribution S made up of two normal distributions C and
> C-bar. I need to find the percentage of the area of S that both C and
> C-bar occupy.
>
> Any suggestions?
>
> Thanks in advance,
> Alan Gibson
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> --------------------------------------------------------
>
> This is not an offer (or solicitation of an offer) to buy/sell the
securities/instruments mentioned or an official confirmation. Morgan Stanley
may deal as principal in or own or act as market maker for
securities/instruments mentioned or may advise the issuers. This is not
research and is not from MS Research but it may refer to a research
analyst/research report. Unless indicated, these views are the author's and
may differ from those of Morgan Stanley research or others in the Firm. We do
not represent this is accurate or complete and we may not update this. Past
performance is not indicative of future returns. For additional information,
research reports and important disclosures, contact me or see
https://secure.ms.com/servlet/cls. You should not use e-mail to request,
authorize or effect the purchase or sale of any security or instrument, to send
transfer instructions, or to effect any other transactions. We cannot guarantee
that any such requests received via e-mail will be processed in a timely manner.
This communication is solely for the addressee(s) and may contain confidential
information. We do not waive confidentiality by mistransmission. Contact me if
you do not wish to receive these communications. In the UK, this communication
is directed in the UK to those persons who are market counterparties or
intermediate customers (as defined in the UK Financial Services Authority's
rules).
>