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Re: st: documentation on iteration for a non linear regression
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: documentation on iteration for a non linear regression
Date
Tue, 12 Jun 2012 22:45:34 +0100
Do look inside e(b).
Nick.
On Tue, Jun 12, 2012 at 10:40 PM, tashi lama <[email protected]> wrote:
> 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
> ------------------------------------------------------------------------------
>> 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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