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RE: st: documentation on iteration for a non linear regression


From   tashi lama <[email protected]>
To   <[email protected]>
Subject   RE: st: documentation on iteration for a non linear regression
Date   Tue, 12 Jun 2012 21:40:21 +0000

ereturn list will will provide e(b) under matrices like 

ereturn list 

scalars:

macros:

matrice: 

      e(b): 1*2

 

that doesn't tell much, does it. Looks like a size of a matrix. I was looking for the the values of parameters b0 and b1 in the table saved as macro or scalar. 

 

 Source |       SS       df       MS
-------------+------------------------------         Number of obs =       312
       Model |  49079.3588     2  24539.6794         R-squared     =    0.9785
    Residual |  1077.64118   310  3.47626187         Adj R-squared =    0.9784
-------------+------------------------------         Root MSE      =  1.864474
       Total |       50157   312  160.759615         Res. dev.     =   1272.15

------------------------------------------------------------------------------
        hits |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         /b0 |   632.7244   16.97061    37.28   0.000     599.3323    666.1166
         /b1 |   .3304635   .0074969    44.08   0.000     .3157122    .3452148
------------------------------------------------------------------------------

 

 

 

Thanx

 


> Subject: Re: st: documentation on iteration for a non linear regression
> From: [email protected]
> To: [email protected]
>
> On Tue, Jun 12, 2012 at 10:09 PM, tashi lama <[email protected]> wrote:
>
> Is there a documentation in Stata which tells how iteration for a non
> linear regression is done? I am having trouble with initializing the
> parameters. I am hoping I will have a better idea to initialize the
> parameters if I understand the iteration process.
>
> >>> See the help and the manual entry as usual. The iteration is faster if you have even a rough idea of what the correct values should be.
>
> Also, when I run a non linear regression model, the values of the
> estimated parameters aren't returned. Isn't it a choke?
>
> >>> I don't know what "choke" means here, but this is utterly incorrect. Look in e(b).
> *
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*
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