Date:         Sat, 5 Sep 2009 14:47:22 -0700
Reply-To:     Dale McLerran <stringplayer_2@YAHOO.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Dale McLerran <stringplayer_2@YAHOO.COM>
Subject:      Re: Simulate t variables (gttir)
Comments: To: Data _null_ <iebupdte@GMAIL.COM>
In-Reply-To:  <ce1fb7450909050333idc194e6v7dceeb4b45a3e7b4@mail.gmail.com>
Content-Type: text/plain; charset=iso-8859-1

Data _null_,

Harder, harder!  Let's see those stripes turn crimson.
You are not flagellating yourself sufficiently.  We
need more blood!

Oh, this is the wrong forum for this post.  Better go
now!

Dale

---------------------------------------
Dale McLerran
Fred Hutchinson Cancer Research Center
mailto: dmclerra@NO_SPAMfhcrc.org
Ph:  (206) 667-2926
Fax: (206) 667-5977
---------------------------------------


--- On Sat, 9/5/09, Data _null_; <iebupdte@GMAIL.COM> wrote:

> From: Data _null_; <iebupdte@GMAIL.COM>
> Subject: Re: Simulate t variables (gttir)
> To: SAS-L@LISTSERV.UGA.EDU
> Date: Saturday, September 5, 2009, 3:33 AM
> Well DATA _NULL_, once again I see
> you have restated the obvious.  It
> seems that the OP and the other knowledgeable helpful
> poster know all
> about the RAND function.
>
> On 9/4/09, Data _null_; <iebupdte@gmail.com>
> wrote:
> > Would RAND work?
> >
> > RAND Function
> > Generates random numbers from a specified
> distribution
> >
> > 230  data _null_;
> > 231     do rep=1 to 10;
> > 232        x=rand('T',4);
> > 233        put x=;;
> > 234        end;
> > 235     run;
> >
> > x=0.0484676897
> > x=0.3030507911
> > x=-0.294910323
> > x=1.4615056019
> > x=-0.15208295
> > x=0.6815017601
> > x=-0.18924352
> > x=-1.1911568
> > x=-0.252726361
> > x=0.1148610137
> >
> >
> > On 9/4/09, OR Stats <stats112@gmail.com>
> wrote:
> > > Hello Listserve:
> > >
> > > Has anyone implemented the fast algorithm for
> generating deviates from the
> > > student's t family in SAS?  The author wrote
> the GNU library
> > >
> > > gttir()
> > > http://books.google.com/books?id=O0YoPJNWZbcC&pg=PA313&lpg=PA313&dq=GTTIR+MONAHAN&source=bl&ots=qmxzHzN8tz&sig=5JgsqjmH0f3QaufwU65kbjK-8i4&hl=en&ei=OJ-hSsCmFtDfnAec6tiqBQ&sa=X&oi=book_result&ct=result&resnum=3#v=onepage&q=GTTIR%20MONAHAN&f=false
> > >
> > > The algorithm is suppose to generate the
> variables to use for
> > > Acceptance-Rejection for goodness of fit test for
> student's t.  My question
> > > is, for those of you who have coded this same
> algorithm in SAS, how many
> > > random # (from 0 to 1) did you use?
> > >
> >
>