If indeed your error space is pitted with local minima then I suggest you might try a method called bootstrap restarting to avoid these spurious local minimas.
The paper was authored by Simon Wood and can be found here http://www.stats.gla.ac.uk/~simon/simon/papers/bsfit.pdf -----Original Message----- From: Chiara Seghieri [mailto:[EMAIL PROTECTED] Sent: 29 March 2004 10:27 To: [EMAIL PROTECTED] Subject: [R] Problems with "optimize" Dear All, I'm trying to maximize a likelihood with respect one parameter using "optimize" on simulated data (without error component). I've iterated the maximization procedure 1000 times and I should always obtain the same estimate of the parameter (equal to the simulated one) but, instead, i obtain different results (the likelihood function shouldn't be flat). Does anybody has experience with the optimize procedure? Thanks in advance, Chiara Chiara Seghieri Dipartimento di Scienze Statistiche "G.Parenti" V.le Morgagni, 59 50134 Firenze, Italy tel.: +39 055 4237230 fax: +39 055 4223560 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html KSS Ltd Seventh Floor St James's Buildings 79 Oxford Street Manchester M1 6SS England Company Registration Number 2800886 Tel: +44 (0) 161 228 0040 Fax: +44 (0) 161 236 6305 mailto:[EMAIL PROTECTED] http://www.kssg.com The information in this Internet email is confidential and m...{{dropped}} ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
