```Date: Sat, 5 Sep 2009 14:47:22 -0700 Reply-To: Dale McLerran Sender: "SAS(r) Discussion" From: Dale McLerran Subject: Re: Simulate t variables (gttir) Comments: To: Data _null_ In-Reply-To: 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_; wrote: > From: Data _null_; > 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_; > 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 > 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? > > > > > > ```

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