st: Re: Stata 10 announcement

["Rodrigo A. Alfaro" <raalfaroa@gmail.com>]

I already checked the features of the new version. Mata function optimize() 
seems
very powerful. Is that useful for ML or GMM (no linear) problems?

Thanks, Rodrigo.




----- Original Message ----- 
From: "William Gould, StataCorp LP" <wgould@stata.com>
To: <statalist@hsphsun2.harvard.edu>
Sent: Monday, June 04, 2007 2:36 AM
Subject: st: Stata 10 announcement



> There is a long tradition of first announcing new releases of Stata on
> Statalist.  Here it is:
>
>         Stata 10 ships June 25.
>
>         Orders are now being accepted by Stata and our distributors.
>         Order from:
>                 http://www.stata.com/
>                 sales@stata.com
>                 800-782-8272 (800-STATAPC, USA)
>                 800-248-8272 (Canada)
>            (+1) 979-696-4600 (Worldwide, voice)
>            (+1) 979-696-4601 (Worldwide, FAX)
>
>         More information is available at
>                 http://www.stata.com/stata10/
>
> A new feature that will interest everyone is
>
>    o  Stata's new WYSIWYG Graph Editor.  Point.  Click.  Edit.
>
> Marketingwise, the Graph Editor may eclipse the other new features, but
> we hope not.  Also of interest to everyone will be
>
>    o  Date/time variables.  Stata already had date variables; now it
>       has time variables (and time-and-date variables, too).  Time is
>       recorded with up to millisecond resolution, which will be
>       important to some of you.  Also, Stata's time variables will
>       work with or without leap-second adjustment.  You may never
>       have heard about leap seconds, but there are clocks that are
>       adjusted for them, and clocks that are not; in computer-
>       generated datasets, time stamps come both ways.  Stata can work
>       with either one.
>
>    o  Estimation results may be saved to disk.  You type -estimates
>       save <filename>- to save results and -estimates use <filename>-
>       to use them.  When you use results, everything is just as it
>       was, meaning that you can use any postestimation command, such
>       as -test-, -predict-, and -nlcom-.
>
> Statisticswise, Stata 10 includes
>
>     o  Exact logistic and Poisson regression.  These new estimators
>        will be important to biostatisticians, those in related fields,
>        and anyone who works with small datasets.
>
>     o  Multilevel, nested, hierarchical, and mixed-effects logistic
>        and Poisson regression.  This is basically the equivalent of
>        Stata 9's -xtmixed-, but for binary and count responses.
>
>     o  More estimators for dynamic panel-data models, including the
>        Arellano-Bover/Blundell-Bond system estimator and its
>        generalizations.  Economists, take note.
>
>     o  LIML and GMM regression in addition to 2SLS, including a test
>        for weak instruments.  (LIML stands for Limited Information
>        Maximum Likelihood and GMM stands for Generalized Method of
>        Moments.)
>
>     o  Nonlinear, seemingly unrelated regression.
>
>     o  More survey estimators, including Cox proportional hazards
>        regression for survey data.  As for the rest, Stata 10 includes
>        27 more survey estimator.  Stata 9 had 21 estimators.  We have
>        more than doubled what is available.
>
>     o  Discriminant analysis, including linear, quadratic, and
>        kth-nearest neighbor.
>
>     o  Multiple correspondence analysis (MCA) and joint correspondence
>        analysis (JCA).
>
>     o  Sample-size and power calculations for survival studies.
>
> There's lots more -- about 21 pages -- visit
> http://www.stata.com/stata10/ for the complete list.
>
>
> NOTES
>
>    1.  You know that we recently released Stata/MP, Stata for
>        multiprocessor computers, including dual-core CPUs.  Two
>        CPUs or cores do not double performance, but Stata/MP
>        achieves 72% efficiency; see http://www.stata.com/statamp/.
>        For Stata 10, even more is parallelized.  If you don't
>        have Stata/MP, you can upgrade to it when upgrading to Stata 10.
>
>    2.  Because of the new time variables, Stata's .dta dataset format
>        has changed.  This happens periodically and, because Stata
>        always reads old-format datasets, most users don't care or even
>        notice.  It does mean, however, that if you use Stat/Transfer,
>        you will want to upgrade to Stat/Transfer 9 [sic].  Yes, it's
>        confusing:  Stat/Transfer 9 goes with Stata 10.
>
>
> -- Bill (for the entire Stata 10 development team)
>   wgould@stata.com
>
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