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From |
"Victor M. Zammit" <vmz@vol.net.mt> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: Re: RE: Re: RE: Re: Memory |

Date |
Wed, 12 Nov 2008 18:58:54 +0100 |

By database for a t table I mean having enough t values to map the confidence intervals associated with increments of t-values.I assume that the closer the database is closer to infinity,ie large enough,the more convergent the mapping gets to the values in the official t-table. ----- Original Message ----- From: "Nick Cox" <n.j.cox@durham.ac.uk> To: <statalist@hsphsun2.harvard.edu> Sent: Wednesday, November 12, 2008 6:47 PM Subject: st: RE: Re: RE: Re: Memory > That's removed one source of doubt. What remains is what you mean precisely by a database for a t table, but go to the help for density functions, and look under Student's t. > > Nick > n.j.cox@durham.ac.uk > > Victor M. Zammit > > By infinite I mean a large enough number of samples of thirty each,that > brings convergence to my results..The litmus test would be,convergence to > the official t-table. > If there is some analytic solution,that would be great too,but I do not know > where I could getthat from. > > Nick Cox > > > What do you mean by "infinite" precisely? There are various mathematical > meanings, courtesy of Cantor, but I doubt that you mean any of them. > > > > Otherwise I can think of three answers to your question. > > > > 1. -help limits- tells you the limits your Stata has in terms of what it > can do; your machine and OS probably cannot oblige. > > > > 2. You can set up a dataset with 30 observations and keep sending results > from a loop to a file outside Stata, but in terms of doing anything with > those results in Stata you are back to answer 1. > > > > 3. What you are doing probably has an analytic solution so that > computation is unnecessary. In particular, Stata's functions will surely > print out a t-table better than any you can get by simulation. > > Victor M. Zammit > > > I need to t-test an infinit number of random samples of size 30 ,from an > > infinite,normally distributed population.Each t-value is saved and then > > appended together to form a database for t table.The problem is that I get > > constrained by memory regardless of the size of the memory in my Stata.I > > have Version 9 .Is there a way of getting around this constrained.? > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**st: RE: Re: RE: Re: RE: Re: Memory***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**References**:**st: Re: Memory***From:*"Victor M. Zammit" <vmz@vol.net.mt>

**st: RE: Re: Memory***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**st: Re: RE: Re: Memory***From:*"Victor M. Zammit" <vmz@vol.net.mt>

**st: RE: Re: RE: Re: Memory***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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