Search found 13 matches
- Thu Apr 02, 2009 2:00 pm
- Forum: Estimation
- Topic: LOGL Error Message
- Replies: 9
- Views: 12405
Re: LOGL Error Message
Or can I do anything to make sure the coefficients are unique?
- Thu Apr 02, 2009 1:57 pm
- Forum: Estimation
- Topic: LOGL Error Message
- Replies: 9
- Views: 12405
Re: LOGL Error Message
Is there any need to worry about it?
- Thu Apr 02, 2009 12:46 pm
- Forum: Estimation
- Topic: LOGL Error Message
- Replies: 9
- Views: 12405
Re: LOGL Error Message
Done, thanks.
But I've got a new error message now =):
"Warning: Singular covariance - coefficients are not unique"
What does this one mean?
Henry
But I've got a new error message now =):
"Warning: Singular covariance - coefficients are not unique"
What does this one mean?
Henry
- Thu Apr 02, 2009 11:37 am
- Forum: Estimation
- Topic: LOGL Error Message
- Replies: 9
- Views: 12405
Re: LOGL Error Message
OK well it only seems to be maximising over theta. I was under the impression that since xalpha, xbeta and stdev each include coefficients, that it would maximise over these as well? xalpha = alpha(1).a1 + alpha(2).a2 + ... + alpha(35).a35 xbeta = beta(1).a1 + beta(2).a2 + ... + beta(35).a35 stdev =...
- Thu Apr 02, 2009 11:12 am
- Forum: Estimation
- Topic: LOGL Error Message
- Replies: 9
- Views: 12405
Re: LOGL Error Message
Thanks. I think there's a log of 0 causing it.
And I'm maximising over 82 coefficients - the others are contained in xalpha, xbeta and stdev.
Henry
And I'm maximising over 82 coefficients - the others are contained in xalpha, xbeta and stdev.
Henry
- Thu Apr 02, 2009 10:56 am
- Forum: Estimation
- Topic: LOGL Error Message
- Replies: 9
- Views: 12405
LOGL Error Message
Could someone please tell me what this error message means? "Missing values in @LOGL series at current coefficients at observation 1" I'm trying to estimate a LOGL function. What might I have done wrong? In case it helps, the logl function is as follows: @logl l2 l2 = (1-index)*log(1-@cnor...
- Thu Apr 02, 2009 10:51 am
- Forum: Data Manipulation
- Topic: simple question on vectors
- Replies: 9
- Views: 11637
Re: simple question on vectors
OK, got it. Thanks for your help.
Henry
Henry
- Wed Apr 01, 2009 3:40 pm
- Forum: Data Manipulation
- Topic: simple question on vectors
- Replies: 9
- Views: 11637
Re: simple question on vectors
I'm trying to create the values on the first page of the attached file so I can then create the log likelihood function. I want to know whether I can use matrix notation.
Henry
Henry
- Wed Apr 01, 2009 1:25 pm
- Forum: Data Manipulation
- Topic: simple question on vectors
- Replies: 9
- Views: 11637
Re: simple question on vectors
OK thanks. So can I not use this notation on eviews? Say I want @cnorm(b1.a1+b2.a2+...+b34), can I use @cnorm(34 by 1 beta vector * 6136 by 34 matrix)? Or do I have to type it all out?
Henry
Henry
- Wed Apr 01, 2009 8:44 am
- Forum: Data Manipulation
- Topic: simple question on vectors
- Replies: 9
- Views: 11637
Re: simple question on vectors
Sure, I will rephrase my question: Let's say I want to run the regression x = b1.a1 + b2.a2 + b3.a3 + ... + b34.a34 where the b's are the betas and a's are my variables. is this the same thing as x = (34 by 1 column vector of betas) * (6136 by 34 matrix of variables) ? (6136 because I have 6136 obse...
- Wed Apr 01, 2009 5:41 am
- Forum: Data Manipulation
- Topic: simple question on vectors
- Replies: 9
- Views: 11637
Re: simple question on vectors
Or do I need to make a 6136 by 34 matrix and input my variables that way?
- Wed Apr 01, 2009 5:37 am
- Forum: Data Manipulation
- Topic: simple question on vectors
- Replies: 9
- Views: 11637
simple question on vectors
Hi all, I would like to know how to make a rowvector out of my 34 variables. I have the series already (let's call them a1,a2,a3,...,a34. 6136 obs in each). I know I can make the rowvector by typing rowvector(34), but how do I input my series into this? I already have my beta column vector. Help wou...
- Sun Mar 29, 2009 10:33 am
- Forum: Estimation
- Topic: Maximising log likelihood functions
- Replies: 1
- Views: 5498
Maximising log likelihood functions
Hi all, I'm new to eviews and am struggling to understand the "logl" function. I would be very grateful if someone could help me out. I would like to solve the function in the file attached (couldn't figure out a way to get it on here directly). Could anyone point me in the right direction...
